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Software Engineer

  • Source: LinkedIn
  • Fidelity Investments
  • On-site
  • Full-Time
  • Mid level

Job Description

Job Description Job Title: Software Engineer

The Purpose of This Role

As a Software Engineer in Architecture Technology Foundation of AM Tech India you will play an important role in integrating cloud-hosted solutions for Asset Management. You will be accountable for building services, frameworks, and Agentic SDLC platforms for Next Gen Engineering enablement capabilities

The Value You Deliver

  • As a Software Engineer with expertise and experience in developing applications including new developments, enhancements, maintenance, and support. The role involves continuous collaboration with partners, iterative understanding of requirements, following Fidelity best practices / methodologies, thorough understanding of the technology roadmap, advancement to design / development process.
  • Consistently making culture choices that positively impact all of engineering. Engineering excellence is a collective set of choices we make as technologists, whether to increase code coverage or ship a product, investing in developer productivity vs saving $$$.
  • You do not compromise for the sake of social acceptance and demonstrate conviction and drive to operate in highly ambiguous situations thriving in uncertainty while keeping your eyes on the long-term vision.
  • Drive technical discussions, arbitrate, and recommend optimal path forward in a room of highly opinionated engineers that may or may not agree with you.

The Skills that are Key to this role

Key Responsibilities

  • Design and implement multi-agent systems using frameworks such as Lang Graph, Lang Chain, AWS Strands, or equivalent agent orchestration platforms.
  • Develop agent capabilities including planning, reasoning, agent memory, tool-calling, workflow orchestration, and context management.
  • Build and optimize RAG (Retrieval-Augmented Generation) solutions leveraging vector databases, embeddings, vectorization, and knowledge retrieval architectures.
  • Create and maintain skills libraries, instruction files/system prompts, reusable agent templates, and agent governance frameworks to improve agent effectiveness and consistency.
  • Establish best practices for token optimization, context window management, prompt compression, caching strategies, and cost-efficient AI inference.
  • Define and implement model evaluation, benchmarking, experimentation, and performance measurement frameworks.
  • Enable observability, tracing, auditability, and monitoring of Agentic workflows to ensure reliability, compliance, and operational excellence.
  • Integrate AI agents with developer tools, enterprise platforms, APIs, and engineering systems.

Preferred Qualifications Experience building enterprise AI assistants, coding agents, AI copilots, or software engineering productivity platforms. Knowledge of AI governance, security, responsible AI, and compliance requirements. Proven ability to drive AI adoption and developer productivity initiatives at scale.

Cloud & Platform Engineering (Good to have )

Strong Experience In AWS Cloud-native Architectures. Hands-on Expertise With

  • EKS (Elastic Kubernetes Service)
  • Docker
  • API Design and API Management
  • Microservices and distributed systems
  • Cloud-native application development and deployment

Required Skills & Experience (Must Have) Strong hands-on experience with:

  • Multi-agent orchestration
  • Agent memory management
  • Tool-calling architectures
  • Planning and reasoning systems
  • Prompt engineering and instruction design
  • Skills and instruction-file development
  • Token optimization and context management
  • Model evaluation and benchmarking
  • RAG, embeddings, vectorization, and retrieval systems
  • Agent tracing, observability, and auditability

Experience With Developer Assist Tools Such As

  • GitHub Copilot
  • Claude Code
  • OpenAI Codex / Codex-based solutions
  • Other AI-powered developer productivity platforms

Experience Working With And Optimizing Multiple Foundation Models Including

  • OpenAI GPT models
  • Google Gemini
  • Anthropic Claude

Strong Understanding Of

  • Model parameters and tuning
  • Prompt strategies
  • Cost, latency, and quality optimization
  • Model selection and benchmarking methodologies

How Your Work Impacts the Organization

  • The Technology Foundations (TF) group provides ready-to-use solutions composed of a standard technology stack, development frameworks, reusable software components and services. The ideal candidate must be…

Skills

  • microsoft-graph
  • amazon-web-services
  • elastic-go
  • Kubernetes
  • Docker
  • Github
  • gitHub-copilot
  • claude-code
  • Codex
  • Gemini

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