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GenAI Engineer

2 hours, 49 minutes ago
India
Full-time
Mid Level
AI Engineer
Software Development
AWS Azure CI/CD Git MLOps Python Secrets Management Serverless
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AHEAD

AHEAD

AHEAD accelerates the impact of technology on clients by engineering customized data, developer, and infrastructure platforms that improve IT operations. By weaving together cloud infrastructure, intelligent operations, and modern applications, we help...

IT Services
1K-5K
$43M raised
View All Jobs 70

Description

  • Design, implement, and maintain Python-based GenAI services and workflows that integrate with internal platforms and applications.
  • Build agentic and multi-step workflows using approved orchestration frameworks and platform patterns such as LangGraph, AgentCore, and LangChain.
  • Use existing retrieval and search abstractions to improve response quality and reliability by tuning retrieval parameters rather than rebuilding core infrastructure.
  • Develop tools and APIs for agents with clear input/output schemas, error contracts, versioning, and observability hooks.
  • Implement structured output handling such as JSON schemas, tool calls, and function calling to support predictable downstream integration.
  • Operate within established security, governance, and access-control guardrails for data handling, logging, auditing, and PII protection.
  • Collaborate with product managers, UX, data, application, and operations teams to turn internal problems into production-ready GenAI solutions.
  • Participate in design reviews, code reviews, and architecture discussions to ensure solutions are maintainable, observable, and aligned with platform standards.
  • Own the operational health of GenAI workflows, including monitoring, alerting, troubleshooting, and iterative improvement.
  • Contribute playbooks, examples, and patterns that help other teams adopt GenAI capabilities effectively.

Requirements

  • 3–7 years of software engineering experience with significant hands-on Python development for production services and workflows.
  • Practical experience integrating LLMs/GenAI with services such as AWS Bedrock, Azure AI, OpenAI, or Anthropic.
  • Experience with prompt and system design for reliability and control.
  • Hands-on experience with structured outputs, including JSON schemas, tool calls, or function calling.
  • Experience building agentic or multi-step workflows using orchestration frameworks such as LangGraph, AgentCore, or LangChain.
  • Ability to design clear agent tool APIs with well-defined input/output schemas, error handling contracts, and versioning strategies.
  • Experience working in a cloud-native AWS/Azure environment, including serverless patterns such as Lambda, secrets management, and logging/metrics/tracing.
  • Familiarity with RAG and retrieval patterns as a consumer, including tuning top-k, similarity thresholds, filters, chunking, metadata enrichment, and indexing tradeoffs.
  • Strong software engineering fundamentals, including Git, testing, code review, CI/CD-friendly patterns, and clean code practices.
  • Effective collaboration and communication skills for working with product, UX, and domain stakeholders.
  • Awareness of security, governance, and responsible AI practices in an enterprise setting, including RBAC, data access boundaries, and PII handling.
  • Experience building on existing platforms or SDKs rather than creating custom platforms from scratch, preferred.
  • Experience integrating GenAI into SDLC/PDLC automation, internal tools, support workflows, or analytics workflows, preferred.
  • Familiarity with MLOps, data platforms, or observability tools for tracking GenAI quality and performance, preferred.
  • Experience working with globally distributed teams, especially across India–US time zones, preferred.
  • Regular use of AI tools to support development, testing, debugging, and documentation, preferred.

Benefits

  • Comprehensive health insurance coverage for employees, with the option to extend coverage to dependents.
  • Paid time off, company holidays, and additional leave benefits as per policy.
  • Flexible work arrangements supporting work-life balance.
  • Learning and development opportunities for continuous growth and upskilling.
  • Employee wellness initiatives and programs focused on physical and mental well-being.
  • Retirement and statutory benefits in line with India regulations.
  • Inclusive, people-first culture with a strong focus on collaboration and ownership.
  • Support for certifications and credentials for continued learning.

Interested in this position?

Apply directly on the company website

Apply Now

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