Senior Agentic AI Engineer

Senior Agentic AI Engineer

Location: Hyderabad

· 5+ years of work experience with Applied Machine Learning
· 3+ years of work experience with Generative Al
· 3+ years of work experience with Python (Programming Language)

Role Overview
As an Agentic AI Engineer, you'll design, build, and ship LLM-powered, agentic AI systems that run in production at scale. You won't just prototype you'll own pipelines end-to-end, from prompt design and eval frameworks to distributed microservice deployment and monitoring. You'll take full ownership of everything you build, including end-to-end testing, so that what ships is production-ready, reliable, and safe from day one.

Key Responsibilities:

• Design and build LLM-powered agentic Al pipelines that reason, plan, and execute multi-step workflows with minimal human intervention.
• Own tool & function calling integrations connect LLMs to internal APIs, EHR systems, calendars, and third-party services.
• Build and maintain rigorous eval frameworks: offline eval sets, regression suites, latency benchmarks, and safety/guardrail tests.
• Ship and operate LLMs in production: streaming responses, structured outputs, prompt versioning, cost/latency tracking, and observability.
• Architect and maintain distributed microservices that expose LLM APIs async Python (FastAPI), event-driven pipelines, and real-time WebSocket workflows.
• Build RAG pipelines: chunking strategies, embeddings, vector stores, retrieval tuning, and PHI-safe handling.
• Take full ownership and conduct end-to-end testing for everything you build from unit and integration tests through to production validation and post-deployment monitoring.
• Collaborate closely with product, backend, and QA to define Al requirements and ship reliable, safe features.

Qualifications

• 3+ years of hands-on Gen AI / LLM engineering experience building and shipping real systems, not just research or prototypes.
• 5+ years of hands-on Al / ML engineering experience overall (Gen Al + pre-Gen Al combined).
• Deep LLM expertise in prompt engineering, tool/function calling, structured outputs, chain-of-thought, and agent orchestration (LangChain, LangGraph, or similar).
• Proven eval culture that you treat evals as a first-class concern not an afterthought.
• Production LLM experience, integrations with OpenAI / Azure OpenAI / AWS Bedrock, streaming, cost optimisation, and monitoring.
• Strong software engineering fundamentals in Python (strong), async programming, REST APIs, CI/CD, Docker.
• Distributed systems fluency with microservice design, event-driven architecture (Kafka/SQS/RabbitMQ), and LLM API gateway patterns.
• End-to-end ownership mindset, you write tests, validate in staging, and don't consider a feature done until it's verified in production.

Preferred Skills Not required for hiring but these make you stand out:

• LLM post-training experience with fine-tuning, RLHF, DPO, or LoRA for domain-adapted or instruction-tuned models.
• Automatic prompt optimisation familiarity with tools or techniques like DSPy, TextGrad, or automated prompt search for systematic prompt improvement.
• Healthcare industry experience, working knowledge of EHR systems, HL7/FHIR standards, HIPAA compliance, or clinical workflows.
• Startup experience where you've worked in a fast-moving, resource constrained environment where you wore multiple hats and shipped quickly.
• Scaling & on-prem deployments experience deploying LLMs at scale, including self-hosted / on-prem model serving (vLLM, TGI, Triton) or hybrid cloud architectures.

Pay: ₹4,000,000.00 - ₹5,000,000.00 per year

Application Question(s):

• 1. How many years of Total experience do you have?

• How many years as Agentic AI Engineer experience do you have?

• How many years of Applied Machine Learning experience do you have?

• How many years of Generative Al experience do you have?

• How many years of Python (Programming Language) experience do you have?

• What is your present location City & State

• What is your current annual salary? (in LPA, e.g., 10)

• Expected CTC (annual salary) (in LPA, e.g., 12 or % hike)

• What is your current notice period?

Work Location: In person