Senior Software Engineer

7 days ago

Mumbai, India Vellstone Full time

We're hiring a Senior Software Engineer / Technical Lead for our product-based client to work on advanced AI and LLM-powered solutions.As a Senior Software Engineer / Technical Lead, your responsibilities would be:Lead the design, development, and deployment of production-grade AI and LLM solutions using Python and Golang.Architect and implement scalable backend services and REST APIs in Golang to serve AI/ML models with high performance.Build and optimise RAG (Retrieval Augmented Generation) pipelines using vector databases and advanced retrieval strategies.Design and implement sophisticated prompt engineering strategies (e.g., few-shot learning, chain-of-thought prompting, context optimisation) for LLM applications.Work with major LLMs (e.g., GPT-4, Claude, Llama) to build intelligent systems for text generation, analysis, classification, and reasoning.Develop microservices and data processing pipelines in Golang and Python to handle high-volume data ingestion, transformation, and model inference.Build and maintain vector databases (e.g., Qdrant, Pinecone, Weaviate) for efficient similarity search and retrieval.Optimize model performance, latency, and cost for production deployments across cloud environments.Mentor junior team members and conduct code reviews.Requirements6+ years of experience in software engineering, data science, or AI/ML engineering roles.Expert-level proficiency in Python with a deep understanding of modern libraries (Pandas, NumPy, FastAPI/Flask, asyncio).Strong proficiency in Golang with experience building production-grade microservices, REST APIs, and concurrent systems.Deep understanding of LLM architectures, capabilities, and limitations, with hands-on experience using platforms like OpenAI, Anthropic, or Hugging Face.Proven expertise in prompt engineering techniques, including context management and optimization strategies.Strong knowledge of RAG architectures, including chunking strategies, retrieval methods, and context management.Deep understanding of embeddings (text, multimodal), vector databases, and semantic search principles.Proficient in SQL with experience in database design, optimization, and working with both relational and vector databases.Strong system design skills with the ability to architect scalable, fault-tolerant AI-powered applications.Self-driven, with the ability to own projects end-to-end and deliver production-quality solutions.BenefitsYou'll get to work with cutting-edge AI technologies, specifically leading the design and deployment of LLM-powered solutions.Opportunity to leverage advanced skills in RAG systems, vector databases, and sophisticated prompt engineering.Experience with model fine-tuning, evaluation, and A/B testing of AI systems is a plus.Familiarity with orchestration frameworks like LangChain/Llamaindex and advanced prompting techniques (ReAct, Tree of Thoughts) is valuable.Exposure to modern development and operations tools, including:Model deployment/serving frameworks (vLLM, TGI, Triton).Distributed systems and message queues (Kafka, RabbitMQ, Redis).Cloud platforms (Kubernetes, Docker, AWS/GCP/Azure).Monitoring/observability tools (LangSmith, Weights & Biases).

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