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Company Overview

Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure and services to drive specific business outcomes such as digital transformation, innovation, and operational agility. Milestone is focused on building an employee-first, performance-based culture and for over 25 years, we have a demonstrated history of supporting category-defining enterprise clients that are growing ahead of the market. The company specializes in providing solutions across Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. Milestone culture is built to provide a collaborative, inclusive environment that supports employees and empowers them to reach their full potential.

Our seasoned professionals deliver services based on Milestone’s best practices and service delivery framework. By leveraging our vast knowledge base to execute initiatives, we deliver both short-term and long-term value to our clients and apply continuous service improvement to deliver transformational benefits to IT. With Intelligent Automation, Milestone helps businesses further accelerate their IT transformation. The result is a sharper focus on business objectives and a dramatic improvement in employee productivity. Through our key technology partnerships and our people-first approach, Milestone continues to deliver industry-leading innovation to our clients. With more than 3,000 employees serving over 200 companies worldwide, we are following our mission of revolutionizing the way IT is deployed.

Job Overview

Role summary

Implements and tests assigned capabilities across feature suites, including RAG pipeline integration and prompt tuning; delivers GraphRAG-based dynamic query generation, graph-aware retrieval, and knowledge-graph schema evolution support; delivers full orchestration integration for the platform's orchestration component.

Key responsibilities

Develop feature logic for assigned capabilities within assigned feature suites




Design and tune prompts and RAG pipeline integrations
Validate sprint-level acceptance criteria against the golden dataset baseline
Coordinate with the AI Architect and Backend Engineer on design and integration questions
Build GraphRAG-based dynamic query generation to replace template-based SPARQL querying
Deliver graph-aware retrieval agent cards
Support knowledge-graph schema evolution
Coordinate with the KG validation workstream on schema and validation questions
Deliver full orchestration integration with the platform's cookbook-based orchestration component
Integrate the RAG-layer retrieval pipeline to inform agent selection, routing and response generation
Document the upgrade path to fine-tuning (documentation only, not an implementation, in this phase)
Expand the golden dataset and semantic grounding
Maintain question-and-answer baseline categorization

Required skills & experience

6+ years AI engineering experience with strong Python fundamentals
Hands-on RAG pipeline and prompt-engineering experience
LLM application development experience
Comfortable validating work against a capped, governed golden dataset rather than open-ended tuning
3+ years RAG / GraphRAG implementation experience
Vector store integration experience
Familiarity with SPARQL and graph-aware retrieval
Strong Python skills
3+ years RAG implementation and orchestration integration experience
Vector store / retrieval pipeline integration experience
Comfortable scoping a fine-tuning upgrade path as a design recommendation rather than an implementation
3+ years NLP / semantic engineering experience
Ontology mapping and semantic disambiguation experience
Experience building or validating golden Q&A; datasets for grounding LLM systems





Preferred qualifications

Experience on a regulated or enterprise AI product
Familiarity with LangGraph or comparable agent frameworks
Direct experience replacing a template-based SPARQL approach with GraphRAG
Experience coordinating with a separate KG validation team
Experience with cookbook-style orchestration frameworks
Experience writing forward-looking technical design documents (vs. shipping code) when scope calls for it
Experience working within a per-sprint expansion cap rather than open-ended dataset growth
Pharma/manufacturing terminology disambiguation experience

Education

B.Tech/MCA in Computer Science, AI/ML, or a related field, or equivalent practical experience.

Compensation

Estimated Pay Range:
Exact compensation and offers of employment are dependent on circumstances of each case and will be determined based on job-related knowledge, skills, experience, licenses or certifications, and location.

Our Commitment to Diversity & Inclusion

At Milestone we strive to create a workplace that reflects the communities we serve and work with, where we all feel empowered to bring our full, authentic selves to work. We know creating a diverse and inclusive culture that champions equity and belonging is not only the right thing to do for our employees but is also critical to our continued success.

Milestone Technologies provides equal employment chance for all applicants and employees. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, gender, gender identity, marital status, age, disability, veteran status, sexual orientation, national origin, or any other category protected by applicable federal and state law, or local ordinance. Milestone also makes reasonable accommodations for disabled applicants and employees.

We welcome the unique background, culture, experiences, knowledge, innovation, self-expression and perspectives you can bring to our global community. Our recruitment team is looking forward to meeting you.

📌 Senior AI/ML Engineer (Kochi)
🏢 Milestone Technologies
📍 Kochi