
Key Responsibilities
AI Architecture & Solution Design
- Design end-to-end AI solution architectures, including:
- Generative AI and LLM-based systems
- Retrieval-Augmented Generation (RAG) pipelines
- Agentic and multi-agent workflows
- Define reference architectures and best practices for AI-enabled features within enterprise products.
- Ensure AI solutions integrate seamlessly with existing applications, data, and cloud architectures.
AI Integration & MCP Servers
- Design and implement Model Context Protocol (MCP) servers to securely expose tools, APIs, and data to AI agents.
- Define standards for tool interfaces, access control, auditing, and safety guardrails.
- Enable product teams to onboard AI tools and capabilities using reusable, scalable integration patterns.
Agentic AI & Workflow Enablement
- Architect AI-driven workflows that support collaboration between humans and AI agents.
- Design AI-to-AI (A2A) and AI-to-system interaction patterns.
- Ensure agent behaviors are deterministic, explainable, and aligned with enterprise requirements.
Hands-On Development & Prototyping
- Build proofs-of-concept and production-ready implementations using Python and/or TypeScript.
- Rapidly validate ideas from ideation to deployment.
- Establish reusable frameworks, libraries, and CI/CD pipelines for AI development.
AI Governance, Quality & Safety
- Implement guardrails to minimize hallucinations, unsafe actions, and data leakage.
- Define evaluation and monitoring strategies for AI systems, including prompt regression and RAG accuracy checks.
- Ensure AI solutions comply with enterprise security, privacy, and governance standards.
Developer Enablement & Collaboration
- Partner with Product, Engineering, QE, Performance, and Security teams to deliver AI capabilities.
- Mentor teams on AI design patterns, tooling, and best practices.
- Contribute to internal AI communities through demos, documentation, and knowledge sharing.
Qualifications :
Required Qualifications
- Bachelor’s degree in computer science, Engineering, or a related technical field, or equivalent practical experience.
- Demonstrated expertise in cloud‑native system design, distributed architectures, and enterprise‑scale integrations.
- Proven ability to architect and implement AI-enabled systems, including integrating Large Language Models (LLMs) into production-grade software.
- Strong ownership of architectural decisions, technical direction, and solution delivery across complex, cross-functional initiatives.
- Hands-on experience applying security, observability, and automation best practices within enterprise environments.
- 6–10 years of experience in software architecture and distributed systems.
- 5+ years of experience building Generative AI or LLM-based solutions.
- Practical experience designing and implementing:
- Retrieval-Augmented Generation (RAG) architectures
- Agentic AI systems
- Tool-calling frameworks and AI integration layers
- Proficiency in Python and/or .Net/TypeScript/Node.js.
- Experience working with major cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
Preferred Qualifications
- Experience with OpenAI, Azure OpenAI, Anthropic, or similar LLM platforms.
- Familiarity with Model Context Protocol (MCP) or equivalent AI tool-integration frameworks.
- Experience applying AI engineering practices beyond prototyping, including evaluation, reliability, and scalability considerations.
- Ability to translate ambiguous business problems into clear technical architecture and execution plans.
- History of influencing technical standards and mentoring senior engineers or architects.
- Experience with vector databases, embeddings, and retrieval optimisation.
- Experience building AI-enabled developer tooling and CI/CD pipelines.
- Prior experience in enterprise SaaS environments.

About Deltek
About
Project-based businesses transform the world we live in. Deltek innovates and delivers software and solutions that power them to achieve their purpose. Our industry-specific software and information solutions maximize our customers' performance at every stage of the project lifecycle by enabling superior levels of project intelligence, management and collaboration.
Deltek is the recognized global standard for project-based businesses across government contracting and professional services industries, helping more than 30,000 organizations of all sizes deliver on their mission.
With over 4,200 employees worldwide, our team of industry experts is passionately committed to creating exceptional customer experiences.
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- Candidate has past experience in scalable consumer facing applications managing latency and traffic
- FullStack Individual Contributor with experience to code at speed and take full product ownership
Experience: minimum 8 YRS
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Skill Set: 8 years plus as a full stack Java/JavaScript Developer
Micro Services, Distributed Systems
Cloud Services: AWS:(EC2,S3,Lambda,Load Balancing,Serverless),Kubernates
Programming Backend: Node.js,Mongodb,Java Spring,PostGreSQL
Programming FrontEnd: ,Angular/React
Queuing: Kafka
Methodologies: Agile Scrum
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End to end coding ; from software architecture to managing scaling,of high throughput(100000)RPS high volume transactions.
DIscuss business requirements and timelines with management and create a task plan for junior members.
Manage the day to day activities of all team members and report
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Mentoring the team on best coding practices and making sure modules are Live
on time.
Management of security vulnerabilities.
Be a full individual contributor which means can work in a team as well as alone.
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Passion for tech innovation and solve problems
GoGetter Attitude
Extremely humble and polite
Experience in Product companies and Managing small teams is a plus
Experience: 2-3 years of experience in Python, NodeJS, MySQL, ReactJS, NextJS technologies.
About: Fletch is a U.S. based technology firm building an open insurance ecosystem
connecting consumer apps to insurance providers. The team has previously built global
payment infrastructure at scale (processing $billions in transactions) and founded enterprise
technology companies with solutions in commercial use by over 100 corporates.
Fletch has seen rapid traction (existing partnerships with leading U.S. insurance providers)
and is backed by top global fintech VCs and angels. The team is now looking to scale
further hiring & expansion.
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-Strong experience in developing apps using React hooks, state, DOM manipulation etc.,
-Strong experience in developing BE code using Python, Node, MySQL.
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-Strong experience in NextJS
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· Building reusable components and front-end libraries for future use
· Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache
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· Familiarity with code versioning tools such as Git, SVN, and Mercurial
· Good understanding of quality JavaScript code (Object oriented and commonly used design patterns )
· Capable of debugging complex issues in JavaScript
· Understanding of JS debug tools and chrome dev tools
Your key qualifications & competencies:
· Understanding of web markup, including HTML5 and CSS3
· Familiarity with RESTful APIs
· Knowledge of modern authorization mechanisms, such as JSON Web Token
· Experience with data structure libraries (e.g., Immutable.js)
· At least 5+ years of hands on coding experience
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