{"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://niyukjobs.ai/jobs-at-jumbo-consulting#organization","name":"Jumbo Consulting","url":"https://niyukjobs.ai/jobs-at-jumbo-consulting","logo":"https://media.licdn.com/dms/image/v2/D560BAQH44K55Gq_dpA/company-logo_100_100/B56Zvv_MaaHQAQ-/0/1769257879885/jumbooconsulting_logo?e=1773273600&v=beta&t=HhqjqYKKz70B2iKVd0XmzMPcXYww9NB38-qeT0HKn8E"},{"@type":"AboutPage","@id":"https://niyukjobs.ai/jobs-at-jumbo-consulting","url":"https://niyukjobs.ai/jobs-at-jumbo-consulting","name":"Jobs at Jumbo Consulting - NiyukJobs","description":"View active job openings and career opportunities at Jumbo Consulting.","about":{"@id":"https://niyukjobs.ai/jobs-at-jumbo-consulting#organization"}},{"@type":"JobPosting","@id":"https://niyukjobs.ai/jobs-at-jumbo-consulting#job-59310dc7-9045-4ae6-84af-ef26e8fcdea9","title":"Backend Lead (30 LPA)","description":"

\n About the job\n

\n\n

Location: Bengaluru

Experience: 6–10 Years

CTC: Up to ₹30 LPA

Type: Full-Time | Technical Leadership

About the Role

We are looking for a hands-on Backend Lead to own and scale core server-side systems for a fast-growing technology product. You will drive backend architecture, performance, reliability, and engineering standards while mentoring a team of backend engineers.

Key Responsibilities

Design and scale APIs, data models, caching, and event-driven architectures.
Own backend performance, reliability, observability, and production SLOs.
Lead database architecture, query optimisation, indexing, and data partitioning.
Design and maintain secure, reliable payment integrations, including reconciliation and idempotency.
Establish backend coding, testing, code-review, and observability standards.
Mentor junior and mid-level backend engineers and participate in technical hiring.
Work closely with DevOps on cloud infrastructure, deployment reliability, and optimisation.
Lead backend incident reviews and drive long-term systemic improvements.

Requirements

6–10 years of backend engineering experience with experience scaling complex systems.
Strong hands-on expertise in Node.js / TypeScript.
Strong knowledge of SQL and NoSQL databases.
Experience with Redis and message brokers such as Kafka, RabbitMQ, or SQS.
Experience building production-scale REST/GraphQL APIs.
Experience with AWS, including services such as Lambda, DynamoDB, RDS, ElastiCache, API Gateway, SNS/SES.
Experience with payment gateway integrations, reliability, idempotency, and reconciliation.
Understanding of event-driven architecture and distributed systems.
Familiarity with observability and monitoring tools such as Datadog, CloudWatch, Grafana, or Splunk.

Nice to Have

Experience building booking, availability, inventory, or transaction-heavy systems.
Experience working on high-scale consumer-facing platforms.

CTC: Up to ₹30 LPA

Location: Bengaluru

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\n About the job\n

\n\n

Location: Bengaluru

Experience: 8–10 Years

CTC: Up to ₹20 LPA

Type: Full-Time

About the Role

We are looking for a hands-on QA Automation Lead to own automation and quality engineering for a consumer-facing travel technology platform. This is primarily an individual contributor role with responsibility for mentoring a small QA team and driving automation strategy.

Key Responsibilities

Build and maintain automation frameworks for Web, Android & iOS.
Develop automated tests across UI, API, integration, and end-to-end layers.
Work with Playwright/Selenium, Appium, and Rest Assured.
Design performance and concurrency testing using JMeter or k6.
Test third-party integrations including payment gateways, booking APIs, webhooks, and notification services.
Own regression testing, defect triage, release readiness, and quality standards.
Identify performance bottlenecks across backend services and APIs.
Mentor 2–3 QA engineers and contribute to test strategy and automation roadmaps.
Use AI-assisted testing tools such as GitHub Copilot, Claude, or similar tools to improve test coverage and automation efficiency.

\nRequirements

8–10 years of QA/testing experience with 4+ years in automation.
2+ years of QA Lead/technical leadership experience.
Strong hands-on experience with Playwright/Selenium, Appium, Rest Assured, and JMeter/k6.
Experience testing scalable mobile and web applications.
Strong understanding of functional, integration, regression, performance, and E2E testing.
Experience working in Agile/Scrum environments.
Strong problem-solving skills and ability to remain hands-on with automation.

CTC: Up to ₹20 LPA

Location: Bengaluru

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\n About the job\n

\n\n

\n Machine Learning Engineer — 20 LPA

Location: Remote

Experience: 2–5 Years

Type: Full-time

About the Company

A fast-growing health-tech company building AI-powered solutions to improve healthcare workflows, decision-making, and patient experiences. The team works at the intersection of machine learning, healthcare data, and modern software engineering, with a strong focus on deploying practical AI systems into production.

About the Role

We’re looking for a Machine Learning Engineer to design, develop, and deploy ML models that solve real-world healthcare problems. You’ll work closely with product and engineering teams to take models from experimentation to reliable production systems.

What You’ll Do

Develop and productionize machine learning models for healthcare use cases.
Work with structured and unstructured datasets to identify meaningful patterns.
Build data preprocessing, feature engineering, training, and evaluation pipelines.
Experiment with modern ML and deep learning techniques.
Work with NLP/LLM-based solutions where applicable.
Deploy and monitor ML models in production environments.
Optimize models for accuracy, scalability, latency, and reliability.
Collaborate with software engineers and product teams to integrate ML capabilities into applications.

Requirements

2–5 years of experience in Machine Learning/AI engineering.
Strong Python programming skills.
Experience with PyTorch, TensorFlow, or Scikit-learn.
Strong understanding of ML algorithms, statistics, and model evaluation.
Experience working with data processing and ML pipelines.
Knowledge of SQL and experience working with large datasets.
Familiarity with REST APIs, Docker, and cloud platforms.
Experience taking ML models from experimentation to production.

Good to Have

Experience with NLP, LLMs, Generative AI, or healthcare AI.
Experience with AWS/GCP/Azure.
Knowledge of MLOps and model monitoring.
Experience working with healthcare or clinical datasets.

Why Join?

Work on AI problems with real-world healthcare impact.
Fully remote opportunity.
Opportunity to work closely with experienced AI and product teams.
High ownership and exposure to production-grade ML systems.

Compensation: Up to ₹20 LPA

Location: Remote

Role: Machine Learning Engineer

\n ","datePosted":"2026-09-29","hiringOrganization":{"@type":"Organization","name":"Jumbo Consulting","logo":"https://media.licdn.com/dms/image/v2/D560BAQH44K55Gq_dpA/company-logo_100_100/B56Zvv_MaaHQAQ-/0/1769257879885/jumbooconsulting_logo?e=1773273600&v=beta&t=HhqjqYKKz70B2iKVd0XmzMPcXYww9NB38-qeT0HKn8E"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"India","addressCountry":"IN"}},"employmentType":"FULL_TIME","directApply":true,"url":"https://niyukjobs.ai/jobs/detail/646893ed-2fcd-4081-bfe8-3fd204b3c202","jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"IN"},"experienceRequirements":{"@type":"OccupationalExperienceRequirements","monthsOfExperience":0},"industry":"IT Services and IT Consulting","totalJobOpenings":1},{"@type":"JobPosting","@id":"https://niyukjobs.ai/jobs-at-jumbo-consulting#job-d4330b62-488b-4517-898d-26be35a43711","title":"AI Engineer (20 LPA) (Remote)","description":"

\n About the job\n

\n\n

\n About the job

Experience: 2–5 Years

Location: Remote

Compensation: Up to ₹20 LPA

Employment Type: Full-time

About the Company

We are a rapidly growing AI-driven health-tech / biotech company building advanced artificial intelligence systems to transform drug discovery and development.

Our technology combines AI, machine learning, predictive modeling and large-scale biological/multi-omics data to help researchers and life-sciences organizations identify promising drug candidates, predict efficacy and safety, and reduce the time and cost involved in bringing new therapies to patients.

We are looking for an AI Engineer who is excited about applying modern AI techniques to complex, real-world problems at the intersection of Artificial Intelligence, Healthcare and Biotechnology.

Role Overview

As an AI Engineer, you will work closely with AI/ML and scientific teams to design, develop and deploy machine-learning solutions for healthcare and drug-discovery applications.

You will be involved across the AI lifecycle — from data processing and model development to experimentation, evaluation, optimisation, and production deployment.

Key Responsibilities

Design, develop and deploy machine learning and AI models for healthcare and life-sciences applications.
Work with large-scale structured, unstructured and biological/multi-omics datasets.
Develop predictive models for areas such as drug activity, efficacy, safety and biological outcomes.
Build and optimize data preprocessing, feature engineering and model-training pipelines.
Experiment with modern deep learning, NLP and generative AI techniques where appropriate.
Evaluate model performance using appropriate statistical and ML metrics.
Improve model accuracy, scalability, robustness and inference performance.
Collaborate with data scientists, computational biologists and domain experts to translate scientific problems into ML solutions.
Develop APIs and production-ready services around AI/ML models.
Contribute to MLOps practices including model versioning, monitoring, testing and deployment.
Stay current with advances in AI/ML, deep learning and AI applications in healthcare.

Required Skills

2–5 years of hands-on experience in AI/ML engineering or machine learning.
Strong proficiency in Python.
Experience with ML frameworks such as PyTorch, TensorFlow or scikit-learn.
Strong understanding of:
Machine learning algorithms
Deep learning
Model evaluation and optimization
Data preprocessing and feature engineering
Statistics and probability
Experience working with SQL and data-processing pipelines.
Experience building and deploying ML models in production.
Familiarity with REST APIs, Git and cloud environments.
Strong problem-solving and analytical skills.

Good to Have

Experience with Generative AI / LLMs.
Experience with NLP or transformer architectures.
Exposure to healthcare, biotechnology, pharmaceuticals or computational biology.
Experience working with multi-omics, genomic or biological datasets.
Knowledge of cloud platforms such as AWS, GCP or Azure.
Experience with Docker, Kubernetes or other containerization technologies.
Familiarity with MLOps and model deployment at scale.

What You’ll Get

Opportunity to work on real-world AI applications in healthcare and drug discovery.
High ownership and exposure to cutting-edge AI technologies.
Remote-first working environment.
Opportunity to collaborate with AI, engineering and scientific experts.
Competitive compensation of up to ₹20 LPA.

We’re looking for someone who is:

Strong technically and comfortable building AI systems end-to-end.
Curious about applying AI beyond traditional software use cases.
Excited by problems involving large, complex datasets and scientific applications.
Comfortable working in a fast-moving startup environment.
Passionate about using AI to create meaningful impact in healthcare.

\n ","datePosted":"2026-09-29","hiringOrganization":{"@type":"Organization","name":"Jumbo Consulting","logo":"https://media.licdn.com/dms/image/v2/D560BAQH44K55Gq_dpA/company-logo_100_100/B56Zvv_MaaHQAQ-/0/1769257879885/jumbooconsulting_logo?e=1773273600&v=beta&t=HhqjqYKKz70B2iKVd0XmzMPcXYww9NB38-qeT0HKn8E"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru","addressCountry":"IN"}},"employmentType":"FULL_TIME","directApply":true,"url":"https://niyukjobs.ai/jobs/detail/d4330b62-488b-4517-898d-26be35a43711","experienceRequirements":{"@type":"OccupationalExperienceRequirements","monthsOfExperience":0},"industry":"IT Services and IT Consulting","totalJobOpenings":1},{"@type":"JobPosting","@id":"https://niyukjobs.ai/jobs-at-jumbo-consulting#job-040d381b-9a5e-4d30-bddd-f5fb9d772dce","title":"AI Engineer - 10 LPA (2+ Years)","description":"

\n About the job\n

\n\n

Experience: 2–5 Years

Location: Bangalore

Compensation: Up to ₹10 LPA

Employment Type: Full-time

About the Company

We are a rapidly growing AI-driven health-tech / biotech company building advanced artificial intelligence systems to transform drug discovery and development.

Role Overview

As an AI Engineer, you will work closely with AI/ML and scientific teams to design, develop and deploy machine-learning solutions for healthcare and drug-discovery applications.You will be involved across the AI lifecycle — from data processing and model development to experimentation, evaluation, optimization and production deployment.

Key Responsibilities

Design, develop and deploy machine learning and AI models for healthcare and life-sciences applications.
Work with large-scale structured, unstructured and biological/multi-omics datasets.
Develop predictive models for areas such as drug activity, efficacy, safety and biological outcomes.
Build and optimize data preprocessing, feature engineering and model-training pipelines.
Experiment with modern deep learning, NLP and generative AI techniques where appropriate.
Evaluate model performance using appropriate statistical and ML metrics.
Improve model accuracy, scalability, robustness and inference performance.
Collaborate with data scientists, computational biologists and domain experts to translate scientific problems into ML solutions.
Develop APIs and production-ready services around AI/ML models.
Contribute to MLOps practices including model versioning, monitoring, testing and deployment.
Stay current with advances in AI/ML, deep learning and AI applications in healthcare.

Required Skills

3–5 years of hands-on experience in AI/ML engineering or machine learning.
Strong proficiency in Python.
Experience with ML frameworks such as PyTorch, TensorFlow or scikit-learn.
Strong understanding of:
Machine learning algorithms
Deep learning
Model evaluation and optimization
Data preprocessing and feature engineering
Statistics and probability
Experience working with SQL and data-processing pipelines.
Experience building and deploying ML models in production.
Familiarity with REST APIs, Git and cloud environments.
Strong problem-solving and analytical skills.

Good to Have

Experience with Generative AI / LLMs.
Experience with NLP or transformer architectures.
Exposure to healthcare, biotechnology, pharmaceuticals or computational biology.
Experience working with multi-omics, genomic or biological datasets.
Knowledge of cloud platforms such as AWS, GCP or Azure.
Experience with Docker, Kubernetes or other containerization technologies.
Familiarity with MLOps and model deployment at scale.

\n ","datePosted":"2026-09-26","hiringOrganization":{"@type":"Organization","name":"Jumbo Consulting","logo":"https://media.licdn.com/dms/image/v2/D560BAQH44K55Gq_dpA/company-logo_100_100/B56Zvv_MaaHQAQ-/0/1769257879885/jumbooconsulting_logo?e=1773273600&v=beta&t=HhqjqYKKz70B2iKVd0XmzMPcXYww9NB38-qeT0HKn8E"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru","addressCountry":"IN"}},"employmentType":"FULL_TIME","directApply":true,"url":"https://niyukjobs.ai/jobs/detail/040d381b-9a5e-4d30-bddd-f5fb9d772dce","experienceRequirements":{"@type":"OccupationalExperienceRequirements","monthsOfExperience":0},"industry":"IT Services and IT Consulting","totalJobOpenings":1},{"@type":"JobPosting","@id":"https://niyukjobs.ai/jobs-at-jumbo-consulting#job-618bdcfe-2e95-4f61-a112-2da863f473b3","title":"Machine Learning Engineer - 80 LPA","description":"

\n About the job\n

\n\n

Location: Bangalore

Experience: 3+ Years

Up to ₹80 LPA

About the Company

We’re hiring for a fast-growing AI-native LegalTech company building next-generation technology for legal teams, enterprises, and professional services firms.

The company is developing sophisticated AI systems that help legal professionals handle complex workflows such as contract review, drafting, document intelligence, risk identification, legal research, and workflow automation.

This is not just an LLM-wrapper role. The engineering team works on model training, fine-tuning, evaluation, reinforcement learning, domain-specific datasets, and production AI systems where accuracy and reliability are critical.

The Role

We’re looking for a strong Machine Learning Engineer – AI Research who enjoys working at the intersection of research and production engineering.

You’ll have significant ownership over how models are trained, evaluated, improved, and deployed for real-world legal use cases.

What You’ll Work On

Train and fine-tune LLMs and deep learning models on domain-specific datasets.
Build rigorous evaluation, benchmarking and error-analysis frameworks.
Experiment with RLHF, DPO, PPO and preference optimization.
Build and improve datasets for training, evaluation and model alignment.
Run structured ML experiments and systematically track model performance.
Explore new architectures, training approaches and optimization techniques.
Optimize models across accuracy, latency and inference cost.
Take promising research ideas from experimentation to production-grade AI systems.
Collaborate directly with engineering, product and domain experts.

What We’re Looking For

3+ years of hands-on Machine Learning / Deep Learning experience.
Strong experience with LLMs, NLP and model fine-tuning.
Strong Python + PyTorch/TensorFlow fundamentals.
Experience designing model evaluations, benchmarks and metrics.
Exposure to RLHF, DPO, PPO or related RL techniques.
Experience with experiment tracking tools such as Weights & Biases / MLflow.
Strong software engineering and problem-solving fundamentals.
Ability to independently tackle open-ended research problems and turn them into working systems.

Experience building AI for LegalTech, FinTech, healthcare, enterprise AI or other high-stakes domains is a strong plus.

Why Join?

You’ll work on challenging applied AI research problems with direct production impact, rather than only integrating third-party APIs. This is a high-ownership opportunity to help build the foundational AI layer of a rapidly growing product and work closely with the core team.

\n ","datePosted":"2026-09-26","hiringOrganization":{"@type":"Organization","name":"Jumbo Consulting","logo":"https://media.licdn.com/dms/image/v2/D560BAQH44K55Gq_dpA/company-logo_100_100/B56Zvv_MaaHQAQ-/0/1769257879885/jumbooconsulting_logo?e=1773273600&v=beta&t=HhqjqYKKz70B2iKVd0XmzMPcXYww9NB38-qeT0HKn8E"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru","addressCountry":"IN"}},"employmentType":"FULL_TIME","directApply":true,"url":"https://niyukjobs.ai/jobs/detail/618bdcfe-2e95-4f61-a112-2da863f473b3","experienceRequirements":{"@type":"OccupationalExperienceRequirements","monthsOfExperience":0},"industry":"IT Services and IT Consulting","totalJobOpenings":1},{"@type":"JobPosting","@id":"https://niyukjobs.ai/jobs-at-jumbo-consulting#job-9148d1c5-a459-4435-994a-dae1f0d4531f","title":"AI Engineer – (60LPA)","description":"

\n About the job\n

\n\n

AI Engineer – LLM / Agentic AI

Upto 60 LPA

Bangalore | Full-time

A fast-growing AI-native LegalTech startup is hiring an AI Engineer to build and ship production-grade AI features and the infrastructure needed to evaluate and scale them reliably.

What you’ll work on:

Build LLM evaluation/model harnesses, regression suites and benchmarking infrastructure.
Develop production LLM-powered features from prototype to scale.
Build RAG pipelines, agentic workflows, tool-use systems and orchestration layers.
Design prompts, context strategies and AI system architectures.
Integrate and evaluate proprietary & open-source foundation models.
Own AI production reliability — monitoring, guardrails, fallbacks and observability.
Work closely with product, engineering and domain experts to solve complex workflow problems.

What we’re looking for:

3+ years building production AI/LLM applications.
Strong experience with LLMs, RAG and agentic/tool-use systems.
Experience building AI evals, test suites, benchmarks or model harnesses.
Strong Python/backend software engineering fundamentals.
Hands-on experience with prompt engineering and LLM orchestration.
Understanding of API-based and open-source models and model selection trade-offs.
Strong ownership, speed and ability to work independently.

Ideal profile: An AI engineer who can go beyond prompting — build the harness, ship the AI feature, evaluate it rigorously, and own it in production.

\n ","datePosted":"2026-09-16","hiringOrganization":{"@type":"Organization","name":"Jumbo Consulting","logo":"https://media.licdn.com/dms/image/v2/D560BAQH44K55Gq_dpA/company-logo_100_100/B56Zvv_MaaHQAQ-/0/1769257879885/jumbooconsulting_logo?e=1773273600&v=beta&t=HhqjqYKKz70B2iKVd0XmzMPcXYww9NB38-qeT0HKn8E"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru","addressCountry":"IN"}},"employmentType":"FULL_TIME","directApply":true,"url":"https://niyukjobs.ai/jobs/detail/9148d1c5-a459-4435-994a-dae1f0d4531f","experienceRequirements":{"@type":"OccupationalExperienceRequirements","monthsOfExperience":0},"industry":"IT Services and IT Consulting","totalJobOpenings":1},{"@type":"JobPosting","@id":"https://niyukjobs.ai/jobs-at-jumbo-consulting#job-d87d8ff8-b396-488e-9b45-7f0ebcb6540e","title":"Forward Deployed Engineers (Voice AI) (Upto 30 LPA)","description":"

\n About the job\n

\n\n

Location: Bengaluru

Experience: 1–3 Years

Compensation: Up to ₹30 LPA

Employment Type: Full-Time

About the Company

A fast-growing AI company building intelligent, production-grade AI agents and workflow automation solutions for enterprise customers, with a strong focus on real-time voice, conversational AI, and financial-services workflows.

Role Overview

We are looking for an SDE 1 (AI) – Voice & Conversational AI to build and improve real-time AI agents that can listen, reason, interact with enterprise systems, execute tasks, and safely hand off conversations when required.

This is an engineering-focused role involving AI + backend systems + voice infrastructure, rather than prompt engineering alone.

Key Responsibilities

Build real-time voice agents with turn-taking, interruption handling, streaming, tool execution, and multilingual capabilities.
Integrate LLMs, speech-to-text, text-to-speech, telephony, APIs, databases, queues, and internal services.
Develop backend orchestration and state-management systems for multi-step AI workflows.
Build evaluation and observability frameworks covering task completion, latency, hallucination, reliability, and cost.
Optimise prompts, model selection, caching, retrieval, concurrency, and fallbacks.
Develop production-grade APIs and services with strong testing, error handling, retries, and monitoring.
Work closely with product and engineering teams to convert business workflows into reliable AI systems.

Required Skills

1–3 years of software engineering experience.
Strong programming skills in Python and/or TypeScript.
Hands-on exposure to LLMs, conversational AI, RAG, function/tool calling, or AI agents.
Good understanding of backend fundamentals, REST/WebSocket APIs, databases, queues, caching, Docker, and cloud deployment.
Strong debugging and problem-solving skills.
Ability to work in a fast-paced environment with high ownership.

Good to Have

Experience with voice/telephony systems such as LiveKit, Pipecat, Vapi, Retell, Twilio, Exotel, WebRTC, or similar.
Exposure to LangGraph, FastAPI, Node.js, Postgres, Redis, Kafka, vector databases, or Kubernetes.
Experience with multilingual or Indian-language conversational AI.
Projects, GitHub work, hackathons, or other demonstrable proof-of-work in applied AI.

\n ","datePosted":"2026-09-16","hiringOrganization":{"@type":"Organization","name":"Jumbo Consulting","logo":"https://media.licdn.com/dms/image/v2/D560BAQH44K55Gq_dpA/company-logo_100_100/B56Zvv_MaaHQAQ-/0/1769257879885/jumbooconsulting_logo?e=1773273600&v=beta&t=HhqjqYKKz70B2iKVd0XmzMPcXYww9NB38-qeT0HKn8E"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bengaluru","addressCountry":"IN"}},"employmentType":"FULL_TIME","directApply":true,"url":"https://niyukjobs.ai/jobs/detail/d87d8ff8-b396-488e-9b45-7f0ebcb6540e","experienceRequirements":{"@type":"OccupationalExperienceRequirements","monthsOfExperience":0},"industry":"IT Services and IT Consulting","totalJobOpenings":1},{"@type":"JobPosting","@id":"https://niyukjobs.ai/jobs-at-jumbo-consulting#job-e11daf05-1120-46b6-838f-e4df41ddc23a","title":"Machine Learning Engineer (60LPA)","description":"

\n About the job\n

\n\n

Location: Bangalore

Type: Full-time

Compensation: Up to ₹60 LPA

A fast-growing AI-native LegalTech company is looking for a strong Machine Learning Engineer to build the AI core of its platform.

What you’ll work on:

Train and fine-tune LLMs/deep learning models on domain-specific data.
Build rigorous model evaluation, benchmarking, and error-analysis frameworks.
Develop RL/RLHF, DPO, PPO or preference-optimisation pipelines.
Own experiments end-to-end — from problem definition and data curation to production deployment.
Work closely with product, engineering and domain experts on high-impact AI problems.

Looking for:

3+ years of hands-on ML/deep learning experience.
Strong experience with LLM fine-tuning/model training.
Practical experience building ML evaluations and benchmarks.
Exposure to RLHF/DPO/PPO or similar techniques.
Strong Python/software engineering fundamentals.
Experience with W&B, MLflow or similar experiment-tracking tools.
Comfortable working independently in a high-ownership, fast-paced startup environment.

Compensation: Up to ₹60 LPA, depending on experience.

Opportunity: Build foundational AI systems for a category-defining LegalTech product, working directly with experienced AI and legal-domain experts.

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\n About the job\n

\n\n

Location: Bengaluru

Experience: 1–3 Years

Compensation: Up to ₹25 LPA

Employment Type: Full-Time

About the Company

Role Overview

This is an engineering-focused role involving AI + backend systems + voice infrastructure, rather than prompt engineering alone.

Key Responsibilities

Build real-time voice agents with turn-taking, interruption handling, streaming, tool execution, and multilingual capabilities.
Integrate LLMs, speech-to-text, text-to-speech, telephony, APIs, databases, queues, and internal services.
Develop backend orchestration and state-management systems for multi-step AI workflows.
Build evaluation and observability frameworks covering task completion, latency, hallucination, reliability, and cost.
Optimise prompts, model selection, caching, retrieval, concurrency, and fallbacks.
Develop production-grade APIs and services with strong testing, error handling, retries, and monitoring.
Work closely with product and engineering teams to convert business workflows into reliable AI systems.

Required Skills

1–3 years of software engineering experience.
Strong programming skills in Python and/or TypeScript.
Hands-on exposure to LLMs, conversational AI, RAG, function/tool calling, or AI agents.
Good understanding of backend fundamentals, REST/WebSocket APIs, databases, queues, caching, Docker, and cloud deployment.
Strong debugging and problem-solving skills.
Ability to work in a fast-paced environment with high ownership.

Good to Have

Experience with voice/telephony systems such as LiveKit, Pipecat, Vapi, Retell, Twilio, Exotel, WebRTC, or similar.
Exposure to LangGraph, FastAPI, Node.js, Postgres, Redis, Kafka, vector databases, or Kubernetes.
Experience with multilingual or Indian-language conversational AI.
Projects, GitHub work, hackathons, or other demonstrable proof-of-work in applied AI.

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