Artificial Intelligence Engineer (Haryana)

AI Engineer (production / apps focus):
- Design and ship AI-powered product features (LLMs, RAG, agents, ML APIs) into our
- existing services, working closely with backend, frontend, and data science teams.
- Integrate off-the-shelf and inhouse models (LLMs, embeddings, ML APIs) into robust microservices and user facing flows.
- Design and implement RAG and workflow/agent pipelines: retrieval, context
- assembly, tools integration, guardrails, and fallbacks.
- Own AI service reliability in production: latency, throughput, cost, observability, circuitbreakers, and rollback/versioning of models and prompts.
- Collaborate with Data Scientists who own model training/finetuning and evaluation design; productionize their outputs as stable APIs/workflows.
- Implement logging, feedback capture, and lightweight online evaluation hooks to measure quality of AI features over time.
- Ensure safety, security, and compliance for AI features: prompt injection defenses, PII handling, abuse/hallucination controls, and audit trail.
- Contribute to internal AI tooling: SDKs, templates, and reusable components to accelerate future AI use case. Skills required:
- AI Engineer role demands more than AI-based augmentation with in-depth understanding of concepts like- -RAG -GenAI, LLM finetuning, Prompt engineering -Multi-Agent framework (langchain, langraph etc with hands on experience) -Eval generation and their importance -Tokens usage and optimisations. -Model/mcp gateway Ideal profile:
- Solid software engineering in Python (and one of Node/Java/Go),
- REST/gRPC APIs, queues, and microservices on cloud infra.
- Handson experience shipping at least one AI powered product to production (e.g., search, recommendations, chatbots, summarization, classification)
- Practical knowledge of LLM concepts: prompts, context engineering, embeddings, vector search, basic evaluation metrics, and latency/cost trade-offs.
- Solid understanding of integration patterns with third party AI providers (OpenAI, Anthropic, etc.) and vector DB
- Hand-on & good understanding of atleast one agentic framework like Langgraph. Apply on Kit Job: kitjob.in/job/4lt0qw