- 4+ years of software development experience with production systems

- Strong proficiency in Python and/or TypeScript/Node.js

- Deep experience with REST APIs, GraphQL, and various integration patterns

- Understanding of JSON-RPC, WebSocket, or similar RPC protocols

- Expertise in async/await patterns and concurrent programming

- Experience with authentication mechanisms (OAuth 2.0, JWT, API keys)

- Strong grasp of error handling, logging, and observability practices

- Experience building SDKs, libraries, or developer tools

- Knowledge of security best practices for API integrations and data handling

- Familiarity with Git, CI/CD pipelines, and deployment automation

Preferred Qualifications

- Hands-on experience with Model Context Protocol (MCP) specification and implementations

- Experience integrating with LLM APIs (OpenAI, Anthropic, Azure OpenAI, Google Vertex AI)

- Understanding of AI agent frameworks (FastMCP)

- Knowledge of prompt engineering and LLM tool calling mechanisms

- Experience with function calling and structured output from LLMs

- Familiarity with enterprise platforms (Splunk, Databricks, Zendesk, Salesforce, Jira)

- Understanding of token optimization and context window management

- Experience with schema validation (JSON Schema, Pydantic, Zod)

- Knowledge of containerization (Docker) and orchestration (Kubernetes)

- Background in observability tools (Prometheus, Grafana, Datadog)

- Contributions to open-source AI/LLM projects

Technical Skills

- Languages: Python 3.10+, JavaScript (Node.js 18+)

- Protocols: JSON-RPC 2.0, REST, GraphQL, Server-Sent Events (SSE), WebSockets

- LLM Integration: OpenAI API, Anthropic Claude API, Azure OpenAI, function calling, tool use

- Frameworks: FastAPI, Express.js, async/await patterns, Agent SDK integration

- Data: JSON Schema, Pydantic models, data validation and serialization

- Tools: Git, Docker, pytest, Jest, VS Code, Postman/Insomnia

- Security: OAuth 2.0, JWT, encryption (AES, RSA), secure secret management

- Concepts: API design, rate limiting, retry logic, circuit breakers, idempotency

Domain Knowledge

- Understanding of AI agent architectures and multi-agent systems

- Knowledge of LLM capabilities, limitations, and token economics

- Familiarity with prompt engineering and context optimization techniques

- Understanding of streaming responses and real-time data handling

- Experience with callback mechanisms and event-driven architectures

- Knowledge of data encryption and PII handling in AI contexts

Soft Skills

- Strong problem-solving ability with complex integration challenges

- Excellent written communication for documentation and tool descriptions

- Ability to design intuitive tool interfaces that LLMs can effectively use

- Collaborative mindset for working with AI engineers and product teams

- Attention to detail for schema design and error handling

- Proactive approach to monitoring and improving connector reliability

- Adaptability to rapidly evolving LLM and AI agent ecosystems

Day-to-Day Activities

- Develop new MCP connectors for enterprise system integrations

- Debug tool calling issues and optimize parameter handling for LLM consumption

- Review and improve tool descriptions for better LLM understanding

- Implement rate limiting and error handling for production robustness

- Write unit tests and integration tests for connector reliability

- Monitor connector performance and troubleshoot agent workflow failures

- Collaborate with teams on new integration requirements

- Update connectors as upstream APIs change or LLM capabilities expand

What You'll Build

- MCP servers exposing enterprise data and capabilities to AI agents

- Tool schemas and validation logic for safe LLM interactions

- Authentication and authorization layers for secure integrations

- Retry mechanisms and error recovery for resilient agent workflows

- Documentation and examples for connector usage

- Testing frameworks ensuring reliability across LLM interactions

- Monitoring and observability instrumentation for production systems

Job description-

 As a Salesforce Senior Technical Lead, you will play a pivotal role in leading Salesforce development initiatives for our client, ensuring seamless integrations, and optimizing configurations across Sales Cloud, custom development, bespoke integrations and Agentforce. You will collaborate with cross-functional teams to deliver innovative solutions that enhance business processes and drive client success.

Key Responsibilities:

• Lead Salesforce Development: Drive the design, development, and deployment of Salesforce solutions, ensuring best practices and high-quality standards.
• Integrations: Manage integrations from and to Salesforce, leveraging APIs and middleware to ensure data consistency and system interoperability.
• Configurations: Optimize Salesforce configurations to meet business requirements and improve user experience.
• Sales Cloud & Service Cloud Expertise: Utilize your deep knowledge of Sales Cloud and Service Cloud to implement effective solutions that support sales and service operations.
• Agentforce Utilization: Leverage Agentforce capabilities to enhance agent productivity and streamline workflows.
• Team Leadership: Mentor and guide junior developers, fostering a collaborative environment that encourages innovation and growth.
• Expert-Level Understanding: Demonstrate expert-level understanding of Salesforce technology, including Apex, Lightning Web Components (LWC), and integrations.
• Best Practices Guidance: Guide teams on best practices for configurations and customization, ensuring optimal performance and scalability.
• CI/CD Proficiency: Showcase proficiency in continuous integration/continuous deployment (CI/CD) processes using tools like Gearset to streamline development workflows.
• Development: Hand-on development in Apex, LWC , Integrations and adopt and/or advise on the CI/CD framework within the clientele

Qualifications:

• • Bachelor’s degree in computer science, information technology, or a related field.
  • Proven experience as a Salesforce developer with expertise in Apex, LWC, Batch/Asynchronous modes, Sales Cloud, Marketing Cloud Integrations & Agentforce.

• Sales Cloud, Agentforce, PD1 and PD2 certified
• Strong understanding of Salesforce integration patterns and tools.
• Excellent problem-solving skills and ability to work independently.

• Effective communication skills to collaborate with stakeholders at all levels.

• This role demands a blend of analytical, strategic, and technical capabilities tailored to the rapid innovation and compliance expectations of aerospace and defense

• Bachelor’s degree in business administration, economics, data analytics, or a related field.
• 5+ years of experience in business analysis, preferably within aerospace, defense, or highly regulated environments.
• Expertise in financial modeling, operational analysis, process improvement, and data analytics using tools such as Excel, Power BI, Tableau, or similar.
• Experience collaborating with executive leadership and cross-functional teams on strategic initiatives.
• Strong communication and presentation skills to convey complex data to various stakeholders.
• Understanding of industry-specific regulatory, operational, and supply chain considerations in aerospace and defense.
• Professional certifications (CBAP, Six Sigma, PowerPoint, Microsoft Office, & Microsoft Project) as well as familiarity with ERP/MRP systems are highly regarded.