FASTTEK GLOBALpowered by Fast Switch - Great Lakes
Chennai, Tamil Nadu
Artificial Intelligence Senior Specialist #1039515Job Description:
- Senior AI Solutions Engineer Position Overview We are seeking a solution-oriented engineer who can identify where AI/LLM capabilities can transform business operations and architect practical integrations within enterprise software systems.
- This is not a traditional ML engineering or data science role focused on model training and deployment infrastructure.
Required Qualifications Experience Profile
- 7+ years of enterprise software development experience
- 2+ years actively working with AI/LLM integration in software applications
- Proven track record of identifying opportunities and delivering solutions (not just executing requirements)
- Experience building and consuming RESTful APIs, microservices architectures
- Strong understanding of cloud platforms (AWS/GCP/Azure)
- Hands-on coding experience in Java and Python AI/LLM Knowledge
- Practical experience integrating LLMs (GPT, Claude, Gemini, or open-source models) into applications
- Understanding of prompt engineering techniques (zero-shot, few-shot, chain-of-thought)
- Familiarity with RAG (Retrieval Augmented Generation) patterns and vector search
- Experience with at least one AI framework or SDK (LangChain, LlamaIndex, OpenAI SDK, etc.) Knowledge of AI agent patterns and agentic workflows Technical Foundation
- Strong object-oriented programming and design patterns
- Experience with enterprise frameworks (Spring Boot, similar)
- Database experience (SQL, NoSQL, Vector databases)
- API design and integration patterns · Git, CI/CD, and modern development workflows
- Cloud-native development experience
Soft Skills
- Solution-focused mindset - you see possibilities, not just problems
- Strong communication skills to bridge technical and business stakeholders
- Comfortable with ambiguity and rapid technology evolution
- Mentoring and leadership capabilities
- Entrepreneurial spirit to build something new ---
Preferred Qualifications
- Strong proficiency in both Java and Python ecosystems
- Knowledge of AI agent frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)
- Understanding of Model Context Protocol (MCP) or similar agent communication standards
- Experience with vector databases (Pinecone, Weaviate, Chroma, Qdrant)
- Exposure to AI governance, security, and responsible AI practices
- Background in enterprise integration patterns (ESB, event-driven architectures)
- Experience with Apache Kafka, message queues, or event streaming
- Cloud certifications (AWS/GCP/Azure) --- Technology Stack (What You'll Work With) Primary Development:
- Enterprise languages: Java, Python · Cloud platforms: AWS/GCP/Azure
- Frameworks: Spring Boot, microservices architectures AI/LLM Technologies: · LLM APIs: OpenAI, Anthropic, Google Gemini, Azure OpenAI
- AI Frameworks: LangChain, LlamaIndex, agent frameworks · Vector databases and embeddings
- RAG implementations and semantic search Infrastructure & Tools: · Git, GitHub/GitLab · Docker, Kubernetes (basic knowledge)
- CI/CD pipelines · REST APIs, JSON, messaging systems ---
Education
- Bachelor's degree in Computer Science, Engineering, or related field
- Master's degree preferred but not required with equivalent experience --- Note Please be prepared to discuss your experience with AI/LLM integration projects and examples of how you've identified opportunities where AI could solve business problems.
Skills Required:
- AI, Google Cloud Platform - Biq Query, Data Flow, Dataproc, Data Fusion, TERRAFORM, Tekton,Cloud SQL, AIRFLOW, POSTGRES, Airflow PySpark, Python, API, LLM
Skills Preferred:
- API
Experience Required:
- Senior Specialist Exp: 8+ experience in relevant field.
Experience Preferred:
- Hands on experience in building AI solutions to solve business problems across the enterprise
Education Required:
- Bachelor's Degree
Education Preferred:
- Certification Program
Additional Information :
- Key Responsibilities AI Solution Strategy & Innovation
- Identify opportunities where AI/LLM integration can solve business problems and add value
- Evaluate emerging AI technologies (GPT, Claude, open-source LLMs, agent frameworks) for enterprise applicability
- Assess and recommend appropriate AI tools and frameworks based on use case requirements and technical constraints
- Design solution architectures that integrate AI capabilities into existing software products
- Build business cases and technical proposals for AI initiatives
- Stay current with AI/LLM developments and translate them into actionable solutions Hands-On Development & Integration
- Build production-ready integrations between enterprise applications and AI/LLM services
- Develop RESTful APIs, microservices, and middleware for AI feature delivery
- Implement prompt engineering strategies, RAG systems, and AI agent workflows
- Create proof-of-concepts to validate AI use cases efficiently · Write clean, maintainable, testable code that follows enterprise standards
- Work with vector databases, embeddings, and semantic search implementations Technical Leadership & Mentorship
- Mentor development teams on AI integration patterns and best practices
- Guide architectural decisions for AI-enabled features
- Establish coding standards and patterns for AI application development
- Collaborate with product managers and business stakeholders
- Grow team capabilities through knowledge sharing and hands-on guidance