Field Deployment Engineer (Customer Integrations)

equired Qualifications:

• Microsoft Dynamics NAV/D365 Business Central: Deep understanding and hands-on experience with Microsoft Dynamics NAV and/or D365 Business Central.

• Implementation Experience: Proven experience in implementing Microsoft Dynamics 365 Business Central.

• MS Dynamics NAV Background: Strong background in MS Dynamics NAV environments.

• C/SIDE and C/AL Proficiency: Expertise in C/SIDE and C/AL programming, particularly in pipeline configuration.

• SQL Knowledge (Desirable): Familiarity with SQL for database interactions and data-related tasks within Dynamics NAV/BC is beneficial but not mandatory.

• Project Management Skills: Ability to manage multiple projects and tasks simultaneously with strong organizational and multitasking abilities.

Product Engineer

Product Engineer | Fibr.ai

Bengaluru · In office · 2-6 years Stack: Python · FastAPI · Temporal · PostgreSQL · MongoDB

The role Fibr is building the agentic web experience layer - turning every URL into an intelligent agent that senses intent, makes decisions, and adapts in real time. Our agents personalise the full journey, running long LLM workflows against live customer accounts and millions of sessions.

You'll own features end-to-end - from the rough idea in a Slack thread to something shipped, instrumented, and behaving correctly in production. New surface areas land on your plate every few weeks: a new agent, a new integration, a new optimization loop. You're responsible for the whole thing, including the evals and metrics that prove it works. You'll work directly with the founding team and ship to real users every week.

What you'll do Ship AI-powered features end-to-end - backend, data, LLM layer, and the surface the user sees Design long-running workflows that hold up against rate limits, partial failures, and noisy third-party APIs Build and maintain the evals, guardrails, and instrumentation that decide whether a feature is good enough to ship Model the data behind agents and the analytics behind product decisions Sit in on architecture calls and shape where the platform goes next

Must-haves 2-6 years of production backend experience Has shipped LLM-powered features to real users in production - not demos, not side projects. Be ready to talk about what broke and how you fixed it Has built and run evals for LLM systems. Show us the harness, the dataset, and the decisions it drove Comfortable across relational and document databases Has worked with a durable workflow or queue system in production Ships fast without breaking the build Nice-to-haves RAG, vector stores, or tool-use / multi-step agents in production Experience with rate-limited third-party APIs at scale (ad platforms, CRMs, analytics) Strong product sense - you catch the UX issue before the user does Time spent at an early-stage startup

How we work High ownership, low bureaucracy. Decisions in the room, not in docs. You'll work directly with the founding team.

Why Fibr AI Competitive salary + meaningful early-stage equity A chance to build deep expertise at the frontier of AI product

Position: Client Partnership

Location: Bangalore & Delhi

About us:

Lentra has built the best-in-class AI/ML enabled Digital Lending Solutions creating a deep impact on the consumer and business lending landscape. The visible outcome of our offering is an ALL digital, completely paperless lending business flow.

We service some of the leading names in Indian Financial Services industry, which include the largest private banks, NBFCs and Fintech. Our AI & ML enabled lending solutions have revolutionized several lending functions like consumer durable finance, Two-wheeler finance, home loan, LAP, MSME lending, supply chain finance and co-lending.

We are at a very exciting infliction point, where we are looking to expand in India as well as internationally. We are also looking to create additional product lines to service the BFSI markets.

Role Purpose:

- Lentra is seeking talented individuals and visionaries to join its sales team as Associate Directors/Regional Managers who are passionate and ambitious to take their career to the next level.

- You will be at the forefront of Lentra's growth story and will be responsible for acquiring new logos by selling Lentra's cutting-edge, state of the art Saas/PaaS solutions across the lending sector, building strong and sustainable relationships with the CXOs and decision makers.

- You will help us meet our customer acquisition and revenue growth targets by keeping our company competitive and innovative.

-You will be responsible for maximizing our sales team potential, crafting sales plans and justifying those to plans to the upper management.

- You will report to the chief business officer and work closely with the senior leadership to achieve organizational goals.

Responsibilities:

- Employ personal communication and sales skills while meeting with prospective business/consumer clients

- Meeting and pitching our digital lending solutions to CIOs, CTOs, Retail/Consumer/ Business/ SME Finance Heads, CROs, Analytics Heads, of Banks, NBFCS and Fintech.

- Understand their requirements, work with internal teams to create a strong value proposition.

- Do demos and presentations to clients.

- Maintain consistent communication with clients through outbound calls and personal onsite visits.

- Create sales opportunities through alternate channels.

- Gather all necessary documentation for accounts to be opened.

- Attain sales goals; identify, acquire and grow new and existing banking relationships, meeting production volume as designated.

- Initiate and maintain strong referral relationships within the division.

- Maintain the required knowledge of products, services, policies and procedures, and other compliance requirements that pertain to the Retail Bank.

- Awareness and knowledge of new trends and practices in lending domain.

- Plan and participate in the BFSI sector events, webinars and promotions.

Key Competencies:

- Excellent Communication skills

- Ability to interact with CXOs

- Excellent presentation

- Relationship building

- Ability to work in fast paced environment

- Strategic Planning and Execution

Educational Qualifications:

- MBA in Marketing/Finance, BE/BTech

Experience and background:

- 8 -10 years of SaaS, software, data and analytics, IT solutions sales to BFSI segment is a must

- Strong network of CXOs in the BFSI sector

- Understanding of sales process of LOS (Loan Origination System), LMS (Loan Management Systems), BRE (Business Rule Engine), Score Cards, Data Analytics, Digital Lending Solutions

- Basic understanding of consumer and business lending processes of banks

- Must possess utmost professional qualities, high energy, results driven, and self-motivation

- Ability to maintain the confidentiality of client information

- Evidence of leadership abilities, a strong work ethic, detail orientation, self-motivation, teamwork, and organizational skills

- Solid knowledge of Microsoft Word, Excel, and PowerPoint

- Excellent communication skills required, both written and verbal

- Travel to various Client locations within a defined market will be required

JD : 

React. Js Developer

Skill Sets: HTML, CSS, JS , Typescript, Nextjs

Location : Bangalore , Complete WFO

Address: 

Embassy Tech Village Rd, Devarabisanahalli, Bellandur, Bengaluru, Karnataka 560103, India.

Candidate Persona:

Need Product based Background Folks only or someone who has worked on product projects. 

Resume is extremely crucial here, if roles and responsibilities, Education details and company names are not mentioned properly in utmost details then they will not be considered further.

Communication skills- Good 

Btech graduated ONLY

Skills that should be mentioned in the CV - HTML, css, js, typescript, Data structures and algorithm. 

Candidates should have a linkedin ID. 

Candidates should have some leet code or hackerrank links (preferred)

Note : candidates who are ready for all the rounds can apply.

LogiNext is looking for a technically savvy and passionate Junior Software Engineer - Data Science to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions. Without knowledge of how the software works, data scientists might have difficulty in work. Apart from experience in developing R and Python, they must know modern approaches to software development and their impact. DevOps continuous integration and deployment, experience in cloud computing are everyday skills to manage and process data.

Responsibilities:

Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Requirements:

Bachelors degree or higher in Computer Science, Information Technology, Information Systems, Statistics, Mathematics, Commerce, Engineering, Business Management, Marketing or related field from top-tier school 0 to 1 year experince in in data mining, data modeling, and reporting. Understading of SaaS based products and services. Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Knowledge using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen and problem-solving aptitude Excellent communication and presentation skills Proficiency in Excel for data management and manipulation Experience in statistical modeling techniques and data wrangling Able to work independently and set goals keeping business objectives in mind