We are Hiring for Top MNC Companies for the position Senior AI Engineer
Experience: 6 to 13yrs
Location: Bangalore(Hybrid)
Notice Period: 0 to 60 Days
Looking only Product Based companies
If interested kindly share the below details to along with the resume to [Confidential Information]
Total years of Experience:
Relevant years of Experience AI/ML:
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Current Company:
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Current CTC:
Excepted CTC:
Notice Period & Last Working Date:
Qualification:
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If there is any offer in hand currently If yes , please share details for the same:
Job Description:
Roles & Responsibilities:
- Design and scale agentic AI systems to support long-running, complex workflows using orchestration frameworks such as LangGraph, CrewAI, or AutoGen.
- Develop systematic evaluation and benchmarking pipelines using G‑Eval, RAGAS, and LLM‑as‑a‑Judge approaches to measure performance, hallucinations, and latency.
- Implement advanced retrieval-augmented generation (RAG) strategies, including multi-stage re‑ranking, hybrid search, and query expansion for high-precision knowledge retrieval.
- Optimize model inference performance using quantization approaches such as AWQ and GGUF, along with caching strategies for cost‑efficient high throughput.
- Collaborate closely with Data Science and DevOps teams to transition experimental prototypes into hardened, production-ready APIs.
- Implement safety guardrails, red‑teaming workflows, and alignment mechanisms to ensure outputs meet industry regulations and brand‑safety standards.
The essential requirements of the job include:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
- Minimum of 6 years of overall software engineering experience, with at least 3 years focused on LLM application development and deployment.
- Hands-on experience with parameter-efficient fine-tuning techniques such as LoRA and QLoRA.
- Strong proficiency in PyTorch or JAX.
- Expert-level experience with LangChain, LlamaIndex, or Haystack, along with scaling vector databases such as Pinecone, Weaviate, or Milvus.
- Proven experience building custom evaluation datasets and tracking experiments using tools such as Weights & Biases or MLflow.
- Strong understanding of LLMOps, including CI/CD pipelines, prompt versioning, and model endpoint management.
