Role description
Job Summary:
Required Qualifications
Must Have:
Strong software engineering fundamentals and proficiency in Python plus Java Go TypeScript is a strong plus
Experience of working with Codex.
Proven experience building LLM powered applications in production tool calling function, calling structured outputs retrieval and evaluation.
Experience designing distributed systems and APIs REST, RPC plus event driven patterns Kafka, SQS, Pub Sub.
Solid understanding of data engineering basics SQL data modeling feature engineering and data quality
Handson knowledge of cloud platforms AWS or Azure or GCP containers, Docker and orchestration Kubernetes preferred.
Ability to write clean testable secure code comfortable with code reviews and engineering rigor
Experience with multiagent systems planning verification and autonomous workflow execution
Experience with vector databases hybrid search and knowledge graphs
Familiarity with model evaluation offline evals golden datasets adversarial testing regression harnesses and AB testing.
Technical Skills:
Agent frameworks Lang Graph Semantic Kernel similar orchestration frameworks or equivalent custom implementations
RAG tooling embedding pipelines hybrid retrieval reranking chunking strategies citation provenance
Observability Open Telemetry structured logging dashboards ing
Data systems OLTP analytics warehouses lakes streaming pipelines feature stores optional
Testing unit integration tests for tools replay tests for agent traces eval harnesses for LLM outputs
Key Responsibilities:
1. Agentic AI System Design Engineering
Design and implement agent architectures planner executor tool using agents multiagent orchestration reflection evaluation loops.
Build tooling integrations for agents merchant systems underwriting platforms transaction stores risk engines CRM case tools knowledge bases and workflow engines.
Implement robust state management session memory task plans provenance traceability and replay ability of agent actions
2. LLM RAG Engineering for Payments Workloads
Develop RAG pipelines over policies SOPs card network rules underwriting guidelines dispute playbooks and merchant agreements.
Apply prompt and system design structured output patterns and schema validation for deterministic agent behaviour.
Optimize for latency cost and reliability using caching model routing and evaluation driven prompt iteration.
3. ML Decisioning Integration
Combine LLM agents with classical ML models fraud scoring anomaly detection risk scoring and rules engines.
Build feedback loops from outcomes chargeback win rate false positives approval uplift to continuously improve models and agent strategies.
4. Safety Compliance and Responsible AI
Implement guardrails PII handling policy enforcement prompt injection defences tool per missioning rate limiting and safe failover.
Ensure auditability why an agent took action evidence used and human approval where required humanintheloop.
5. Productionization MLOps LLMOps
Build CICD for agent services evaluation suites telemetry drift detection and incident response playbooks.
Instrument agent behavior using tracing spans structured logs and metrics task success tool errors hallucination indicators
6. Collaboration Leadership
Partner with Product Risk Ops Underwriting Compliance and Engineering to convert business problems into deployable AI solutions.
Mentor engineers set standards for agent design patterns testing and production readiness.
Skills
Mandatory Skills : Java, Python
Other details
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):
Benefits and Perks:
- Comprehensive Medical Plan Covering Medical, Dental, Vision
- Short Term and Long-Term Disability Coverage
- 401(k) Plan with Company match
- Life Insurance
- Vacation Time, Sick Leave, Paid Holidays
- Paid Paternity and Maternity Leave
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.
Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.
LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.
Benefits
Compensation range: $93,815.00 to $142,400.00 per year
About LTM
LTM is an AI-centric global technology services company and the Business Creativity partner to the world’s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM — a Larsen & Toubro company — owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/
