Data AnalyticsBuild AI where the work actually happens.
Celeco works inside real businesses to understand critical workflows, ship production AI systems and stay through adoption.
We are hiring our first Intelligence Architect (Forward-Deployed AI Engineer).
⌁
Full-time · Remote-first · Optional hybrid in Bengaluru
At least one year of professional engineering experience. Customer travel when the work requires it.
The role
An Intelligence Architect enters a customer environment with an unfinished question and leaves behind a working, measurable system.
This is a hands-on engineering role at the boundary of product, operations and customer delivery. You will learn the domain, inspect the existing systems and data, decide what should be built, and write the code that puts it into production.
What you will own
- Interview and shadow the people doing the work, then map the real workflow, including hand-offs, exceptions and workarounds.
- Understand the customer's application stack, APIs, data, identity model, security constraints and deployment environment.
- Turn business goals into a technical scope, system design, delivery plan and measures of success.
- Build across the stack: AI workflows, data pipelines, integrations, backend services and the interfaces people use.
- Choose the simplest reliable approach. The answer may combine agents, retrieval, rules and conventional software.
- Create evals from representative cases, define quality and failure metrics, inspect traces, red-team the system and set launch thresholds.
- Make practical trade-offs across accuracy, latency, cost, privacy, security and speed.
- Take prototypes into production with tests, monitoring, access controls, documentation and a plan for failure and recovery.
- Work beside customer teams during rollout and improve the system until it becomes part of the workflow.
- Turn what works into reusable components, evaluation sets and playbooks for future Celeco deployments.
You will probably thrive here if
- You have at least one year of professional software or product engineering experience.
- You have shipped a real system used by other people and can explain what you owned, what broke and what you changed.
- You are strong in Python or TypeScript and comfortable moving across unfamiliar codebases, APIs, databases and cloud services.
- You have built with language or multimodal models and understand prompting, structured outputs, retrieval, tool use and model failure modes.
- You use Cursor, Codex, Claude Code or similar tools as part of your engineering workflow, while still reviewing, testing and understanding the code you ship.
- You can create an evaluation set, choose useful quality metrics and improve a system through error analysis instead of prompt guesswork.
- You can speak with an operator, an engineering team and a senior leader without losing the thread of the problem.
- You work well with incomplete requirements, write clearly and surface risks early.
- You care about whether people use what you build and whether it changes a business outcome.
- You can commit full-time and travel to customer sites when discovery or rollout is better done in person.
Experience with cloud deployment, containers, CI/CD, observability, enterprise integrations, authentication or security is useful. We do not expect one person to arrive knowing every framework, cloud or industry.
What you will get
- Direct ownership of live customer problems from discovery through production.
- Close collaboration with Celeco's founders and customer leadership teams.
- Exposure to different industries, operating models and technical environments.
- The freedom to choose the technical approach and the responsibility to prove that it works.
- A role in defining Celeco's engineering methods, reusable systems and technical culture while the company is early.
- A remote-first setup, with the option to work together in Bengaluru.
If the work sounds like you but your background is unconventional, apply. We care more about what you have built, how you think and how quickly you learn than pedigree.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Celeco Labs
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We are seeking a proactive and technically skilled Python Application Support Engineer to join our Technical Operations team. This role is crucial for ensuring the stability and reliability of our mission-critical, Python-based applications. You will be responsible for timely incident resolution, deep-dive troubleshooting, implementing permanent fixes, and driving operational efficiency through automation.
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Technical Troubleshooting & Incident Management
- Incident Resolution: Serve as the primary point of contact for complex Level 2 and Level 3 production incidents, diagnosing root causes and resolving issues across our Python application stack.
- Deep-Dive Analysis: Utilize log analysis tools (e.g., Splunk, ELK Stack) and monitoring platforms (e.g., Prometheus, Grafana) to quickly identify and address anomalies in application behavior.
- Code Debugging: Analyze, debug, and fix application issues directly within the Python codebase, including Flask/Django services, worker queues, and custom scripts.
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Operational Excellence & Automation
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- Python Automation: Develop, maintain, and enhance automated scripts (primarily in Python) to streamline routine operational tasks, reporting, health checks, and system recovery processes.
- Documentation: Create and maintain comprehensive documentation, runbooks, and knowledge base articles for application support procedures and recurring issues.
Collaboration & Prevention
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⚙️ Required Qualifications
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Python
Machine Learning (ML)Principal Software Engineer
Company Summary :
As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com
Position Responsibilities :
About the Role
We are seeking a highly motivated AI Solutions Engineer to join Deltek’s growing AI Center of Excellence team to design, develop, deploy, and optimize internal Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate combines deep expertise in AI, machine learning, Generative AI, Large Language Models (LLMs), SLMs, software engineering, cloud computing, and MLOps/LLMOps to build scalable, production-grade AI applications.
The AI Solutions Engineer will collaborate with AI data scientists, architects, and engineering teams to deliver innovative AI-driven solutions while ensuring security, scalability, governance, and operational excellence. This role reports to the Senior AI Solutions Architect.
Key Responsibilities
AI & Machine Learning Development
- Design, build, train, evaluate, and deploy machine learning and deep learning models.
- Develop Generative AI solutions using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and Mistral.
- Implement Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and AI agent frameworks.
- Build NLP, recommendation systems, forecasting, predictive analytics, and intelligent automation solutions.
- Optimize model performance, scalability, latency, and cost.
Software Engineering & Solution Development
- Develop production-grade AI applications using Python and modern software engineering practices.
- Build APIs, microservices, and AI-powered enterprise applications.
- Integrate AI services with enterprise systems, business applications, and data platforms.
- Apply coding standards, automated testing, CI/CD, and version control best practices.
MLOps & AI Operations
- Design and implement MLOps pipelines for model development, deployment, monitoring, and lifecycle management.
- Automate model training, validation, testing, and deployment processes.
- Monitor model performance, data drift, hallucinations, and operational metrics.
- Support continuous improvement and reliability of AI platforms.
Cloud & Platform Engineering
- Develop AI solutions on Azure, AWS, or Google Cloud platforms.
- Leverage cloud-native AI services, containerization, Kubernetes, and serverless technologies.
- Build scalable architectures supporting enterprise AI workloads and real-time inference.
AI Governance & Security
- Ensure compliance with Responsible AI, security, privacy, and regulatory requirements.
- Implement model governance, explainability, bias mitigation, and risk management practices.
- Maintain standards for secure design, deployment, and operation of AI solutions.
Required Qualifications
Education
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field.
Experience
- 5+ years of software engineering or machine learning development experience.
- 2+ years of hands-on experience developing and deploying Agentic AI, Generative AI or AI/ML solutions in production environments.
Technical Skills
Programming & Engineering
- Strong expertise in Python.
- Experience with Java, ReactJS, JavaScript, or similar programming languages.
- Solid understanding of algorithms, data structures, APIs, and software design principles.
Artificial Intelligence & Machine Learning
- Machine Learning and Deep Learning concepts and frameworks.
- Model training, evaluation, optimization, and deployment.
Generative AI
- Large Language Models (LLMs) & SLMs
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents and Agentic Workflows
- Fine-tuning and model customization
- Vector embeddings and semantic search
Frameworks & Tools
- PyTorch, TensorFlow, Scikit-learn
- LangChain, LlamaIndex, Semantic Kernel, MCP, A2A and Transformers
- FastAPI, Flask
Data & Analytics
- SQL and NoSQL databases
- Data pipelines, ETL, and data modeling
- Experience with AWS, Azure and Google
MLOps & DevOps
- MLflow, Kubeflow, Azure ML, SageMaker
- Docker and Kubernetes
- Git, GitHub, Azure DevOps, Jenkins
- CI/CD automation and model monitoring
Cloud Platforms
- AWS (preferred)
- AWS Bedrock or Azure OpenAI Service
- AWS SageMaker
- Google Vertex AI
Preferred Qualifications
- Experience designing enterprise-scale AI platforms and products.
- Knowledge of multi-agent architectures and autonomous AI systems.
- Experience with vector databases such as Pinecone, Snowflake Cortex, Pgvector, Weaviate, Chroma, or Azure AI Search.
- Understanding of AI governance, compliance, and Responsible AI frameworks.
- Relevant certifications in Azure AI, AWS Machine Learning, or Google Cloud AI.
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Openings: 2
Experience: 5+ Years
Qualification: Bachelor’s or Master’s in Computer Science or related field
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Problem Solving & Optimization:
- Analyze and resolve complex technical and application issues.
- Optimize application performance, scalability, and reliability.
Design & Develop:
- Build, test, and deploy scalable full-stack applications with high performance and security.
- Develop clean, reusable, and maintainable code for both frontend and backend.
AI Integration (Preferred):
- Collaborate with the team to integrate AI/ML models into applications where applicable.
- Explore Generative AI, NLP, or machine learning solutions that enhance product capabilities.
Technical Leadership & Mentorship:
- Provide guidance, mentorship, and code reviews for junior developers.
- Foster a culture of technical excellence and knowledge sharing.
Agile & Delivery Management:
- Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives).
- Define and scope backlog items, track progress, and ensure timely delivery.
Collaboration:
- Work closely with cross-functional teams (product managers, designers, QA) to deliver high-quality solutions.
- Coordinate with geographically distributed teams.
Quality Assurance & Security:
- Conduct peer reviews of designs and code to ensure best practices.
- Implement security measures and ensure compliance with industry standards.
Innovation & Continuous Improvement:
- Identify areas for improvement in the software development lifecycle.
- Stay updated with the latest tech trends, especially in AI and cloud technologies, and recommend new tools or frameworks.
Required Skills
- Strong proficiency in JavaScript, HTML5, CSS3
- Hands-on expertise with frontend frameworks like React, Angular, or Vue.js
- Backend development experience with Java, Spring Boot (Node.js is a plus)
- Knowledge of REST APIs, microservices, and scalable architectures
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience with Agile/Scrum methodologies and JIRA for project tracking
- Proficiency in Git and version control best practices
- Strong debugging, performance optimization, and problem-solving skills
- Ability to analyze customer requirements and translate them into technical specifications
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- 2+ years of experience as a Technical Lead, managing development teams and driving project delivery.
- Strong technical decision-making ability, including architecture design, technology selection, and implementation of best practices.
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- Back-end development: Hands-on experience with Node.js, RESTful APIs, API design, and server-side architecture.
- Gen AI Expertise: Experience in building RAG & LLM Systems, implementing AI/ML models or integrating AI-based solutions to solve business problems.
- Cloud & DevOps exposure: Experience with AWS/Azure, understanding of CI/CD pipelines, and cloud-based deployments.
- Code quality & best practices: Experience in code reviews, Git version control, and ensuring maintainable and secure code.
- Team leadership: Ability to mentor developers, guide technical discussions, and collaborate across teams.
- Strong communication skills to effectively interact with technical and non-technical stakeholders.
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Education Qualifications:
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Responsibilities:
- Understand business requirements and convert them into technical solution options.
- Research, evaluate, and compare SaaS products, AI platforms, cloud services, and enterprise applications.
- Develop POCs and prototypes to validate technical feasibility.
- Build and test integrations using REST APIs, webhooks, SDKs, and authentication mechanisms.
- Perform technical, scalability, security, and cost feasibility assessments.
- Prepare solution comparison reports, architecture diagrams, and technical recommendations.
- Collaborate with business users, vendors, and engineering teams during evaluations.
- Identify technical risks, assumptions, and implementation dependencies.
- Support engineering teams in transitioning successful POCs into production.
- Maintain clear technical documentation.
Criteria:
· Bachelor's degree in Computer Science, Information Technology, or a related field.
· 3–5 years of hands-on experience in software development, integration engineering, or solution engineering.
· Strong coding skills in Python, Node.js, Java, or C#.
· Experience working with REST APIs, JSON, OAuth, webhooks, and API testing tools.
· Hands-on exposure to AWS or another major cloud platform.
· Experience with Git, Docker, and SQL databases.
· Excellent analytical, troubleshooting, and communication skills
· Comfortable collaborating across product, engineering, and business teams
· Excellent communication, problem-solving, and stakeholder management skills.
Preferred Skills
- Exposure to OpenAI, Gemini, Claude, or other AI/LLM platforms.
- Experience evaluating third-party enterprise software.
- Basic knowledge of Kubernetes, Terraform, CI/CD, Redis, or Kafka.
Ability to create architecture diagrams and technical proposals
PythonJavascriptWe’re partnering with a fast-growing AI-first enterprise transforming how organizations handle documents, decisioning, and workflows — starting with BFSI and healthcare. Their platforms are redefining document intelligence, credit analysis, and underwriting automation using cutting-edge AI and human-in-the-loop systems.
As an AI Engineer, you’ll work with a high-caliber engineering team building next-gen AI systems that:
- Power robust APIs and platforms used by underwriters, analysts, and financial institutions.
- Build and integrate GenAI-powered agents.
- Enable “human-in-the-loop” workflows for high-assurance decisions in real-world conditions.
Key Responsibilities
- Build and optimize ML/DL models for document understanding, classification, and summarization.
- Apply LLMs and RAG techniques for validation, search, and question-answering tasks.
- Design and maintain data pipelines for structured and unstructured inputs (PDFs, OCR text, JSON, etc.).
- Package and deploy models as REST APIs or microservices in production environments.
- Collaborate with engineering teams to integrate models into existing products and workflows.
- Monitor, retrain, and fine-tune models to ensure reliability and performance.
- Stay updated on emerging AI frameworks, architectures, and open-source tools; propose system improvements.
Required Skills & Experience
- 2–5 years of hands-on experience in AI/ML model development, fine-tuning, and deployment.
- Strong Python proficiency (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow).
- Solid understanding of transformers, embeddings, and NLP pipelines.
- Experience with LLMs (OpenAI, Claude, Gemini, etc.) and frameworks like LangChain.
- Exposure to OCR, document parsing, and unstructured text analytics.
- Familiarity with FastAPI/Flask, Docker, and cloud environments (AWS/GCP/Azure).
- Working knowledge of CI/CD pipelines, model validation, and evaluation workflows.
- Strong problem-solving skills, structured thinking, and production-quality coding practices.
Bonus Skills
- Domain exposure to Fintech/BFSI or Healthcare (e.g., credit underwriting, claims automation, KYC).
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- Knowledge of MLOps tools (MLflow, Airflow, Kubeflow).
- Experience integrating GenAI into SaaS or enterprise products.
Education
- B.Tech / M.Tech / MS in Computer Science, Data Science, or related field.
- (Equivalent hands-on experience will also be considered.)
Why Join
- Build AI systems from prototype to production for live enterprise use.
- Work with a senior AI and product team that values ownership, innovation, and impact.
- Exposure to LLMs, GenAI, and Document AI in large-scale enterprise environments.
- Competitive compensation, career growth, and a flexible work culture.
Laravel
PHPPlease note: Candidates who have applied in the last 6 months are requested not to reapply
Position Overview:
We are looking for an experienced Senior Laravel Developer who thrives in a fast-paced environment and has experience handling multiple projects and diverse interfaces. The ideal candidate will lead the development and maintenance of applications, ensuring security, scalability, and seamless third-party integrations while collaborating with front-end developers, UX/UI designers, and key stakeholders.
Requirements:
- Experience: Approx.1 year to 6 years in PHP development with a focus on Laravel & MySQL.
- Deep understanding of Laravel architecture (Service Container, Service Providers, Facades,
Eloquent ORM, Queues, Jobs, Events, Middleware, Broadcasting, and Caching).
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- Version Control & Tools: Experience with Git, JIRA, AWS SDK
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- Third-Party API Integrations: Experience with Firebase, Google Maps, Email/SMS services
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- REST API development & documentation (Apiary)
Good to Have:
- Experience with multiple databases (MySQL, PostgreSQL, MongoDB)
- Basic knowledge of AWS services (S3, EC2, RDS, SES)
- Understanding of encryption, hashing, encoding (SES, SHA, RSA)
- Experience integrating Stripe Payment Gateway
-Experience working on AI/ML-based projects or research
-Exposure to AI models with applications (e.g., using APIs or SDKs)
Job Details:
Job Type: Full-time
Salary: 5,00,000 - 20,00,000 per year
Schedule: Monday - Friday
Location: Balewadi-Baner Road, Pune (In-Person Only)
Job Type: Full-time
Benefits:
- Flexible schedule
- Paid time off
Experience:
- Total work: 5 years (Required)
- Laravel: 5 years (Required)
Work Location: In person
React.jsNodeJS (Node.js)
MongoDBAI-Native Full-Stack Engineer
Location: Pune, India (Onsite)
Experience: 2–5 years
Team: Engineering
If you're a fast-moving full-stack engineer with sharp problem-solving skills, deep web dev know-how, and a passion for using AI to ship smarter and faster — you might’ve just found your dream role.
About FlytBase
At FlytBase, we’re not just creating a product — we’re on a zero-to-one journey, building a whole new global category that’s never existed before.
We’re on a mission to unlock the world’s third dimension with fully autonomous drones. That means solving problems from first principles, embracing bold experimentation, and pushing the boundaries of what’s possible.
If you’re bored of cookie-cutter playbooks and ready for something fresh, exciting (and yes, involving drones), this is your place.
Don’t believe it? Challenge us — we’d love to show you why we’re so confident in what we’re building.
What You’ll Do
- Build from zero- Turn raw ideas into high-impact features — fast.
- Engineer with AI- Use AI to prototype, ship, debug, and iterate at blinding speed.
- Move across the stack- Work fluidly across UI, APIs, backend, services, and deployment.
- Think like a founder - You won’t be assigned tasks — you’ll own outcomes.
You’re a Great Fit If You...
- Are AI-native - You treat AI as a superpower, not a novelty.
- Ship relentlessly -You can out-ship most with one hand tied.
- Think problem-first - You pick tools for results — not popularity.
- Hate hand-holding - You own your sprints, your bugs, and your outcomes.
- Are built different - You don’t want a job. You want war. Legacy. Impact.
Our Stack
React? Rust? Firebase?
We don’t care what you’ve used — we care if you can:
- Learn fast
- Build faster
- Adapt even faster
You’ll use AI tools to go 5x faster than the average engineer — and still want to go faster.
Apply Now: https://lnk.ink/5uP0H
PythonPosition: Senior Project Associate= 01
Essential Qualification:
(i) Master’s Degree in Natural or Agricultural Sciences/ MVSc or bachelor’s degree in Engineering or Technology or Medicine from a recognized University or equivalent
and
(ii) Four year’s experience in Research and Development in industrial and Academic Institutions or Science and Technology Organisations and Scientific activities and services
OR
Doctoral Degree in Science/ Engineering/ Technology/ Pharma/ MD/ MS from a recognized University or equivalent
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Upper Age limit (years) - 40
Monthly Emoluments: 42,000/- +HRA
Deadline for application - 22-Apr-2024
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon