DigiHelic Solutions Pvt. Ltd.
Website:
digihelic.com
Job details:
Role: Senior / Lead AI/ML Engineer
Location: Bangalore (Onsite)
Exp: 6+ yrs , relevant 5+ yrs
Role Description
This is a full-time, on-site role for an Artificial Intelligence ML Engineer located in Bengaluru.
We are looking for a Senior / Lead AI/ML Engineer to design, build, and optimize Model Context Protocol (MCP) servers, small language models (SLMs), and agentic AI workflows within an AWS-centric AI ecosystem. This role requires strong expertise in LLMs/SLMs, agent orchestration, data pipelines, Snowflake, and cloud-native AI deployments.
Key Responsibilities
• Design and build MCP servers that consume and process:
– Business requirements
– Documentation
– Configurations
– Structured & unstructured data sources
• Optimize and fine-tune Small Language Models (SLMs)
• Build and enhance agentic / multi-agent workflows tailored to specific use cases
• Support data traversal, transformations, and pipelines
• Work with Snowflake-backed architectures
• Implement hosting, deployment, and integration patterns
• Contribute within an AWS-centric AI / ML ecosystem.
. Ensure performance, scalability, reliability, and cost optimization.
Key Contributions:
Designed and deployed MCP servers to process business requirements, technical documentation, configurations, and multi-source enterprise datasets
Built agentic AI workflows integrating MCP clients with LLM/SLM reasoning pipelines
Optimized Small Language Models (SLMs) for domain-specific tasks, achieving:
• 35% latency reduction
• 28% inference cost savings
Developed RAG pipelines leveraging Snowflake + Vector DB for contextual retrieval
Implemented AWS-based model hosting & serving architecture using:
• SageMaker
• ECS
• Lambda
Led integration of AI services into existing AWS AI ecosystem
Technical Skills
• Languages: Python, SQL
• Frameworks: PyTorch, TensorFlow, LangChain
• GenAI: LLMs, SLMs, RAG, Agentic AI, MCP
• Cloud: AWS (SageMaker, Lambda, ECS, Bedrock)
• Data: Snowflake, Databricks
• DevOps: Docker, Kubernetes, CI/CD
Certifications
• AWS Machine Learning Specialty
• Generative AI / LLM Engineering
Click on Apply to know more.