Forward Deployed Engineer, AI Agents

About Us:

MyOperator and Heyo are India’s leading conversational platforms, empowering 40,000+ businesses with Call and WhatsApp-based engagement. We’re a product-led SaaS company scaling rapidly, and we’re looking for a skilled Software Developer to help build the next generation of scalable backend systems.

Role Overview:

We’re seeking a passionate Python Developer with strong experience in backend development and cloud infrastructure. This role involves building scalable microservices, integrating AI tools like LangChain/LLMs, and optimizing backend performance for high-growth B2B products.

Key Responsibilities:

• Develop robust backend services using Python, Django, and FastAPI
• Design and maintain a scalable microservices architecture
• Integrate LangChain/LLMs into AI-powered features
• Write clean, tested, and maintainable code with pytest
• Manage and optimize databases (MySQL/Postgres)
• Deploy and monitor services on AWS
• Collaborate across teams to define APIs, data flows, and system architecture

Must-Have Skills:

• Python and Django
• MySQL or Postgres
• Microservices architecture
• AWS (EC2, RDS, Lambda, etc.)
• Unit testing using pytest
• LangChain or Large Language Models (LLM)
• Strong grasp of Data Structures & Algorithms
• AI coding assistant tools (e.g., Chat GPT & Gemini)

Good to Have:

• MongoDB or ElasticSearch
• Go or PHP
• FastAPI
• React, Bootstrap (basic frontend support)
• ETL pipelines, Jenkins, Terraform

Why Join Us?

• 100% Remote role with a collaborative team
• Work on AI-first, high-scale SaaS products
• Drive real impact in a fast-growing tech company
• Ownership and growth from day one

We're at the forefront of creating advanced AI systems, from fully autonomous agents that provide intelligent customer interaction to data analysis tools that offer insightful business solutions. We are seeking enthusiastic interns who are passionate about AI and ready to tackle real-world problems using the latest technologies.

Duration: 6 months

Perks:

- Hands-on experience with real AI projects.

- Mentoring from industry experts.

- A collaborative, innovative and flexible work environment

After completion of the internship period, there is a chance to get a full-time opportunity as AI/ML engineer (Up to 12 LPA).

Compensation:

- Joining Bonus: A one-time bonus of INR 2,500 will be awarded upon joining.

- Stipend: Base is INR 8000/- & can increase up to 20000/- depending upon performance matrix.

Key Responsibilities

• Experience working with python, LLM, Deep Learning, NLP, etc..
• Utilize GitHub for version control, including pushing and pulling code updates.
• Work with Hugging Face and OpenAI platforms for deploying models and exploring open-source AI models.
• Engage in prompt engineering and the fine-tuning process of AI models.

Requirements

• Proficiency in Python programming.
• Experience with GitHub and version control workflows.
• Familiarity with AI platforms such as Hugging Face and OpenAI.
• Understanding of prompt engineering and model fine-tuning.
• Excellent problem-solving abilities and a keen interest in AI technology.

To Apply Click below link and submit the Assignment

https://pgagi.in/jobs/28df1e98-f0c3-4d58-9509-d5b1a4ea9754

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

About Corridor Platforms

Corridor Platforms is a leader in next-generation risk decisioning and responsible AI governance, empowering banks and lenders to build transparent, compliant, and data-driven solutions. Our platforms combine advanced analytics, real-time data integration, and GenAI to support complex financial decision workflows for regulated industries.

Role Overview

As a Backend Engineer at Corridor Platforms, you will:

• Architect, develop, and maintain backend components for our Risk Decisioning Platform.
• Build and orchestrate scalable backend services that automate, optimize, and monitor high-value credit and risk decisions in real time.
• Integrate with ORM layers – such as SQLAlchemy – and multi RDBMS solutions (Postgres, MySQL, Oracle, MSSQL, etc) to ensure data integrity, scalability, and compliance.
• Collaborate closely with Product Team, Data Scientists, QA Teams to create extensible APIs, workflow automation, and AI governance features.
• Architect workflows for privacy, auditability, versioned traceability, and role-based access control, ensuring adherence to regulatory frameworks.
• Take ownership from requirements to deployment, seeing your code deliver real impact in the lives of customers and end users.

Technical Skills

• Languages: Python 3.9+, SQL, JavaScript/TypeScript, Angular
• Frameworks: Flask, SQLAlchemy, Celery, Marshmallow, Apache Spark
• Databases: PostgreSQL, Oracle, SQL Server, Redis
• Tools: pytest, Docker, Git, Nx
• Cloud: Experience with AWS, Azure, or GCP preferred
• Monitoring: Familiarity with OpenTelemetry and logging frameworks

Why Join Us?

• Cutting-Edge Tech: Work hands-on with the latest AI, cloud-native workflows, and big data tools—all within a single compliant platform.
• End-to-End Impact: Contribute to mission-critical backend systems, from core data models to live production decision services.
• Innovation at Scale: Engineer solutions that process vast data volumes, helping financial institutions innovate safely and effectively.
• Mission-Driven: Join a passionate team advancing fair, transparent, and compliant risk decisioning at the forefront of fintech and AI governance.

What We’re Looking For

• Proficiency in Python, SQLAlchemy (or similar ORM), and SQL databases.
• Experience developing and maintaining scalable backend services, including API, data orchestration, ML workflows,  and workflow automation.
• Solid understanding of data modeling, distributed systems, and backend architecture for regulated environments.
• Curiosity and drive to work at the intersection of AI/ML, fintech, and regulatory technology.
• Experience mentoring and guiding junior developers.

Ready to build backends that shape the future of decision intelligence and responsible AI?

Apply now and become part of the innovation at Corridor Platforms!

We are seeking a highly skilled and motivated Senior Software Engineer (AI/ML) to design, develop, and deploy cutting-edge AI solutions across our organisation. The ideal candidate will possess strong expertise in machine learning, natural language processing (NLP), and generative AI, along with solid experience in software engineering principles. This role requires a hands-on technologist who can collaborate with cross-functional teams to build scalable, high-performance AI systems that deliver measurable business impact.

The core responsibilities for the job include the following:

Technical Leadership:

• Lead end-to-end development and deployment of AI/ML models and applications.
• Design scalable, maintainable AI architectures and data pipelines.
• Provide technical mentorship to junior engineers and peers across data science and software engineering teams.

Solution Design and Development:

• Collaborate with product managers, architects, and business stakeholders to identify and define AI-driven solutions.
• Develop, evaluate, and optimise model training strategies, evaluation metrics, and deployment methods.
• Stay current with emerging AI/ML technologies, frameworks, and tools (e. g., PyTorch, TensorFlow, Hugging Face, and LangChain drive their adoption where relevant.

Project Management:

• Translate business requirements into actionable technical deliverables with defined timelines and milestones.
• Ensure code quality, scalability, and performance in production environments.
• Identify potential risks, implement mitigation strategies, and ensure timely delivery of AI solutions.

Collaboration and Communication:

• Work closely with DevOps, MLOps, and Data Engineering teams for seamless model integration and deployment.
• Effectively communicate complex AI concepts to both technical and non-technical stakeholders.

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of overall software engineering experience, with a minimum of 3 years in AI/ML development.

Mandatory Technical Skills:

• Proficiency in Python and Generative AI frameworks.
• Strong understanding of Retrieval-Augmented Generation (RAG), PyTorch, Large Language Models (LLMs), and AWS.
• Hands-on experience with AI/ML tools and libraries such as TensorFlow, Hugging Face, and LangChain.

Proven experience in:

• Deep Learning Frameworks: TensorFlow, PyTorch.
• NLP Models: Transformers, BERT, LLMs (GPT, LLaMA, Claude, etc. ).
• ML Lifecycle Tools: MLflow, Kubeflow, Vertex AI, Azure ML.
• Model Deployment: REST APIs, Docker, Kubernetes, Serverless Architectures.
• Cloud Platforms: AWS / Azure.
• Vector Databases: FAISS, Qdrant, Pinecone, and semantic search implementations.
• Strong programming expertise in Python, with familiarity in SQL, Scala, or Java as required.

Preferred Qualifications:

• Experience with Generative AI, LLM fine-tuning, or RAG-based systems.
• Understanding of Responsible AI practices, including bias detection, model explainability, and governance.
• Contributions to open-source AI/ML projects or publications in recognised AI research forums.

About Grey Chain:

Grey Chain is a Generative AI-as-a-service, Mobile & Digital Transformation firm helping organizations reimagine user experiences with disruptive & transformational thinking and partnership.

We are trusted by UNICEF, BOSE, KFINTECH, WHO, and many Fortune 500 Companies.

About the role:

We are hiring a Senior Architect – AI & Enterprise Development, a top-quality professional with a strong technology and communication foundation, who can lead enterprise-level solutioning and architecture design, particularly in AI-enabled transformation.

This role requires a strategic problem solver who can zoom out to see the big picture while having the ability to deep dive into specific areas when required. You’ll lead architecture and solutioning for high-stakes enterprise clients and work closely with delivery teams to ensure robust and scalable outcomes.

Key Responsibilities

• Lead architecture and solutioning initiatives for enterprise-grade applications with a focus on AI/ML integration.
• Collaborate directly with enterprise clients to understand business problems and design innovative, scalable, and cost-effective solutions.
• Act as a technology evangelist, introducing and implementing cutting-edge AI and enterprise tools/frameworks.
• Provide technical leadership and mentorship to engineering and delivery teams.
• Represent Grey Chain in client meetings, primarily across the Delhi/NCR region.
• Ensure architectural quality, scalability, and security of platforms built.
• Conduct feasibility assessments and create POCs to validate solution approaches.

Skills & Experience Required

• 6+ years of experience in enterprise software development, with at least 3 years in an architecture/solutioning capacity.
• Proven experience working with AI/ML frameworks, enterprise platforms, and designing cloud-native solutions.
• Strong understanding of distributed systems, microservices, and modern architecture patterns.
• Excellent communication skills with the ability to convey complex concepts to non-technical stakeholders.
• Based in Delhi/NCR and comfortable with client-facing responsibilities.
• Demonstrated ability to work in fast-paced environments and solve high-impact problems with a positive, can-do attitude.

Good to Have

• Hands-on experience with platforms like AWS/GCP/Azure and containerization tools (Docker, Kubernetes).
• Exposure to enterprise clients in BFSI, Retail, or Consulting sectors.
• Familiarity with tools like GitLab, Trello, Jira, and collaboration platforms like Zoom.

Python Developer at BeyondScale

BeyondScale is a technology company on a mission to democratise AI for small and medium-sized businesses (SMBs). We're building Sitara, an AI-powered ERP suite that is a suite of micro-apps designed specifically for the service sector. Imagine a pocket CRM, a pocket POS, and a suite of essential tools—all streamlined for simplicity and powered by intelligent automation.

The Opportunity:

We're looking for a passionate Python Developer to join our growing team and play a key role in shaping the future of AI-powered ERP. You'll be instrumental in building Sitara, a product poised to disrupt a massive market with high growth potential.

What You'll Do:

• Design, develop, and maintain efficient, reusable, and reliable Python code for our AI-powered ERP platform.
• Develop and integrate web APIs and interact with SQL databases (NoSQL experience a plus).
• Implement automation using object-oriented programming (OOP) principles, multiprocessing, and threading.
• Write clean, well-documented code and actively participate in testing and debugging.
• Leverage Git and modern development workflow practices to ensure a smooth development cycle.
• While not required, familiarity with generative AI concepts (LLMs, RAG) is a plus.

You're a Great Fit If You:

• Have 1+ years of relevant job experience working with Python
• Possess a strong foundation in computer science fundamentals.
• Are a team player with a collaborative spirit and a positive attitude.
• Enjoy learning new technologies and are eager to push boundaries.
• Have excellent communication skills, including the ability to effectively say no when needed.

Job Type: Full-time

Location: Remote

Company Description

The Blue Owls Solutions specializes in delivering cutting-edge Generative AI Solutions, AI-Powered Software Development, and comprehensive Data Analytics and Engineering services. Our expertise in End-To-End ML/AI Development ensures that clients benefit from scalable and efficient AI-driven solutions tailored to their unique business needs. We create intelligent voice and text agents, chatbots, and process automation solutions, and our data analytics services provide actionable insights for strategic decision-making. Our mission is to bridge the gap between AI innovation and adoption, delivering value-driven, outcome-based solutions that empower our clients to achieve their business goals.

Role Description

We're seeking an enthusiastic Backend Developer who thrives on solving interesting challenges and building reliable, efficient applications. While basic competency in frontend (React) is sufficient, strong backend skills (Python, FastAPI, SQL, pandas) and cloud-native awareness are essential. The ideal candidate enjoys learning new tech stacks, and enjoys solving problems independently.

Required Skills (In order of importance)

• Strong proficiency in Python backend development with FastAPI.
• Familiarity with data analysis using pandas, numpy, and SQL.
• Familiarity with cloud-native concepts and containerization (Docker).
• Basic React skills for frontend integration.
• Excellent problem-solving skills, adaptability, and quick learning abilities.
• Experience with version control systems (e.g., Git)

Preferred Qualifications:

• 3+ Years of experience as Backend Engineer
• Experience with PostgreSQL or other relational databases.
• Azure Cloud Experience.
• Experience writing clean, maintainable, and testable code.
• Experience in AI/ML development is a plus

Why Join Us?

• Collaborative, remote-first environment.
• Opportunities for rapid career growth and learning.
• Competitive Pay.
• Engaging projects focused on practical problem-solving.

We're seeking a Generalist Software Engineer with a passion for the art and science of building software. The ideal candidate excels in technical execution and possesses the versatility to quickly adapt to new technologies. You'll be expected to deliver high-quality solutions across various tech stacks while maintaining a commitment to

continuous learning and improvement.

You Would Be a Good Fit If

• You're a back end developer with strong expertise in at least one programming language and have experience building and deploying production applications.
• You excel at problem-solving and apply first-principle thinking to complex challenges
• You communicate effectively, both in writing and verbally
• You're passionate about crafting high-quality, pragmatic software solutions
• You're self-driven, adaptable, and quick to learn new technologies
• You're excited to help shape both the code and the organization

You would not be a good fit if

• Prefer traditional office settings over remote work
• Require constant supervision or struggle with self-motivation
• View software development as just a job rather than a craft
• Prefer sticking to a single tech stack or strongly identify with specific technologies
• Specialize exclusively in frontend development or DevOps
• Seek a purely managerial position without hands-on coding responsibilities

bout the Role

We are seeking an experienced Python Data Engineer with a strong foundation in API and basic UI development. This role is essential for advancing our analytics capabilities for AI products, helping us gain deeper insights into product performance and driving data-backed improvements. If you have a background in AI/ML, familiarity with large language models (LLMs), and a solid grasp of Python libraries for AI, we’d like to connect!

Key Responsibilities

•   Develop Analytics Framework: Build a comprehensive analytics framework to evaluate and monitor AI product performance and business value.

•   Define KPIs with Stakeholders: Collaborate with key stakeholders to establish and measure KPIs that gauge AI product maturity and impact.

•   Data Analysis for Actionable Insights: Dive into complex data sets to identify patterns and provide actionable insights to support product improvements.

•   Data Collection & Processing: Lead data collection, cleaning, and processing to ensure high-quality, actionable data for analysis.

•   Clear Reporting of Findings: Present findings to stakeholders in a clear, concise manner, emphasizing actionable insights.

Required Skills

•   Technical Skills:

o   Proficiency in Python, including experience with key AI/ML libraries.

o   Basic knowledge of UI and API development.

o   Understanding of large language models (LLMs) and experience using them effectively.

•   Analytical & Communication Skills:

o   Strong problem-solving skills to address complex, ambiguous challenges.

o   Ability to translate data insights into understandable reports for non-technical stakeholders.

o   Knowledge of machine learning algorithms and frameworks to assess AI product effectiveness.

o   Experience in statistical methods to interpret data and build metrics frameworks.

o   Skilled in quantitative analysis to drive actionable insights.